websites built in python

10 Famous Websites Built Using Python

April 29, 2022 3 min read

There are tens of thousands of Python websites on the internet. Python is a powerful programming language created by Guido van Rossum in 1991.  Python is a popular language with both beginners and seasoned developers.

Many of today’s most successful tech companies are choosing Python for the back-end of their website . Let’s take a look at 10 famous websites built using Python.

1 . Instagram

Instagram, the world’s biggest online photo-sharing app, uses Python on its backend. According to Instagram’s engineering team,

Instagram currently features the world’s largest deployment of the Django web framework, which is written entirely in Python.

Read more about how Instagram uses Python on the Instagram blog.

Google is the most widely used search engine in the world with over 75% of the market share . Longtime Google engineer, Alex Martelli, explained how Google got started using Python in their tech stack,

It all got started, I believe, because the very earliest Googlers (Sergey, Larry, Craig, …) made a good engineering decision: “Python where we can, C++ where we must.”

Read more about why the Google tech stack is built using Python .

Spotify allows instant listening to specific tracks or albums with virtually no buffering delay. The app was launched in 2008 and has since then has reached over 75 million paid subscribers .

While Spotify’s website is build using WordPress , the Spotify app is built using Python. Spotify engineer Geoff van der Meer explains how Spotify used Python to code the app’s backend:

Spotify’s backend consists of many interdependent services, connected by [its] own messaging protocol over ZeroMQ. Around 80% of these services are written in Python.

Read more about how Spotify uses Python .

Netflix is the world’s leading internet television network with more than 33 million members in 40 countries enjoying more than one billion hours of TV shows and movies per month, including Netflix original series. According to the Netflix technology blog,

Developers at Netflix have the freedom to choose the technologies best suited for the job. More and more, developers turn to Python due to its rich batteries-included standard library, succinct and clean yet expressive syntax, large developer community, and the wealth of third party libraries one can tap into to solve a given problem.

Read more about how and why Netflix uses Python .

Uber, the ridesharing service, completes over 15 million trips daily. According to Uber engineers,

At the lower levels, Uber’s engineers primarily write in Python, Node.js, Go, and Java. We started with two main languages: Node.js for the Marketplace team, and Python for everyone else. These first languages still power most services running at Uber today.

Learn more about the Uber tech stack and how they use of Python.

Dropbox is a home for all your photos, docs, videos, and files.

Have you ever wondered, how does an app like Dropbox scale from 2000 users to 200M users?  According to Rajiv Eranki, previously Head of Server Engineering at Dropbox, they used Python for everything .

In 2012, Dropbox hired the man who created Python, Guido van Rossum , away from Google . As of this writing, Rossum is still employed at Dropbox, making sure that Dropbox’s Python stack is one of the most efficient in the industry.

Read more about how Dropbox is using Python.

7. Pinterest

Pinterest is a social bookmarking site where users collect and share photos of their favorite events, interests, and hobbies. According to Pinterest co-founder Paul Sciarra ,

We use python + heavily-modified Django at the application layer. Tornado and (very selectively) node.js as web-servers.

Find out more about Pinterest’s tech stack.

8. Instacart

Instacart guarantees groceries delivered from the stores you love in one hour. With more than 500,000 users and 2 million in revenue , it is quickly becoming one of the most popular grocery delivery apps. According to an interview with Instacart’s engineering team,

We have a data science team that works in both Python and R […] In the case of demand forecasting, we have Python or R code that does the estimates, that reads all the data, comes up with how many shoppers we’re going to need for the next week or two, and then writes those values.

Read more about Instacart’s stack and why they use Python .

Reddit has 330 million monthly active users . According to an interview at PyCon with Reddit co-founders Steve Huffman and Alexis Ohanian,

The biggest thing that has kept us on Python … well, there are two huge things. One are the libraries. […] The other thing that keeps us on Python, and this is the major thing, is how readable and writable it is. When we hire new employees … I don’t think we’ve yet hired an employee who knew Python. I just say, “everything you write needs to be in Python.” Just so I can read it. And it’s awesome because I can see from across the room, looking at their screen, whether their code is good or bad. Because good Python code has a very obvious structure. And that makes my life so much easier.

Read more about why Reddit uses Python.

Lyft is the fastest growing rideshare company in the United States and is available in more than 200 cities, facilitating 14 million rides per month.

At a San Francisco Meetup in 2018, Lyft software engineer Roy Williams told the crowd,

Lyft is a big fan of Python. It’s quite common for services to utilize NumPy, Pandas, and PuLP to serve requests via Flask, Gevent, and Gunicorn. We use SciPy to fight fraud, we use Salt to provision hosts.

Watch Roy Williams’ talk on how and why Lyft uses Python 3 in their tech stack .

Ready to learn Python? You can join over 60,000 students at One Month where we offer a 30-day Learn Python Online Bootcamp . The course is for absolute beginners, and we offer live human support for when you have questions.

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18 Famous Websites Built with Python in 2024

By Ramkumar

Mar 25, 2024 6 Min Read 12662 Views

(Last Updated)

While binge-watching the latest Netflix series or replying to your Instagram DMs, have you ever wondered about the technology stack built on these awesome websites? If you have guessed Python, you are absolutely right!

Many of today’s most successful software companies use Python for their website’s backend. Python programming language is a powerful and widely used computer language. Web development, data science, Machine Learning, Deep Learning, Big Data, and other fields can benefit.

Guido van Rossum designed Python in 1991. It is a popular programming language among both novice and experienced programmers. Python programmers adore the language’s readability and straightforward syntax. It can also be used in game development, social networking applications, and data visualization.

Table of contents

• 18 Popular Websites Built with Python
• Facebook (Meta)
• Survey Monkey
• Is it possible to create a website with Python?
• What well-known websites make use of Python?
• How does Netflix use Python?
• Is Python used by Amazon?
• In Website Development, which Python framework is most commonly used?

Python’s popularity, in and of itself, is proof that it is well worth adding to your development toolkit. On the other hand, which major tech giants employ Python for web development? Let’s have a look at the top 18 well-known websites that were built with Python.

If you are aspiring to explore Python through a self-paced course, try   GUVI’s Python self-paced certification course with IIT Certification.

Netflix is the world’s most popular internet television network, with over 33 million subscribers in 40 countries watching over one billion hours of TV shows and movies each month, including Netflix’s original series.

Netflix developers use Python because of its comprehensive standard library, short and clear yet expressive syntax, big developer community, and abundance of third-party libraries.

Netflix is the perfect example of a firm that has kept up with technological advancements. Netflix used to rent DVDs by mail, but it swiftly hopped on the digital bandwagon and grew to become one of the world’s most popular streaming services.

Google is the most extensively used search engine on the planet. It is another primary Python-based website. Developers can switch traffic and manage search requirements for each level using the language and its supporting infrastructure.

Using Python, Google is a web application that operates smoothly and without errors during development. Python is now an official language at Google, with many applications ranging from system development and administration to code evaluation.

Python is also utilized in many of Google’s cutting-edge machine learning and AI projects, which is becoming increasingly crucial in big tech as the need for data analytics grows.

YouTube , a Google subsidiary, was built primarily in Python. The world’s largest video streaming site, which has been distracting us from existential sorrow with funny videos since 2005, is a prime real-world example of Python in web development.

Python powers the site in various ways, including view video, administrator video, data access, and website control templates, to name a few. It has various features and libraries that make the user experience more dynamic.

It has been designed to make the process of uploading, downloading, and sharing videos as simple as possible. Surprisingly, it didn’t start that way. The initial codebase for YouTube was PHP. However, after a few months, the creators decided to switch to Python because of the latter’s superior speed, performance, and flexibility.

4. Instagram

The backend of Instagram , the world’s most popular online photo-sharing program, is written in Python. Instagram presently has the world’s largest Django web framework deployment, fully built-in Python.

It’s user-friendly, straightforward, tidy, and logical. Instagram’s user interface is made possible through Python web programming. It’s also great for building a team of developers because the platform’s scalability isn’t an issue.

Python is used to create APIs, search mechanisms, and other features. That’s something I’m sure you didn’t know!

Python was used to create the ride-hailing service, making about 15 million journeys every day. Python, Node.js, Go, and Java is their major tech stack. Python frameworks such as Django and Flask are also widely utilized to create various features of Uber .

While Python isn’t Uber’s only programming language (it makes up approximately 35% of their tech stack), it is the backbone of its back-end operations. This includes data analytics features for forecasting supply and demand, user surges, and arrival times—all of which are highly mathematical operations that Python excels at.

6. Pinterest

Pinterest , a virtual pinboard and social bookmarking platform has been on our screens for over a decade. Users can create image collections for everything from dogs to wedding gowns to origami art. Python was chosen as the company’s first programming language because it allowed them to scale and construct reliable apps.

The organization uses a variety of third-party Python modules for communication and configuration management. The site’s persistent dependence on machine learning, on the other hand, strongly suggests that Python is still a key component of its software stack.

Dropbox is a place where you can save all your images, documents, videos, and data. Also, one of the world’s foremost providers of cloud storage solutions, Dropbox, employs Python web programming in its tech stack.

It uses the programming language to host files and lets users interface with various application components in real-time. It is still at the forefront of the industry today, and Python is responsible for most of its success.

Dropbox has used Python on both the server and client sides since its inception. Dropbox chose the language because of its cross-platform capabilities and readability, allowing them to implement, test quickly, and deploy new product features.

The organization is so committed to Python that it hired Guido van Rossum, the language developer, from 2012 to 2019.

Quora is probably the most well-known Q&A site on the internet, and it’s best recognized for its intriguing questions and occasionally dubious solutions. It is another site that heavily relies on Python.

Because Quora is such a dynamic site, Python has allowed them to construct and test new functionality with fewer lines of code, allowing them to speed up the creation of new features.

Quora’s backend uses a variety of Python packages, including Tornado and PyPy, among others. The codebase has changed dramatically in the last five years. Today, the Python application serves as a foundation for Quora’s whole development.

Spotify allows you to listen to select music or albums right away, with almost no buffering. Since its inception in 2008, the app has grown to over 75 million paid customers and employs Python significantly in its software. Python’s simplicity and readability were required because the company wanted to focus on speed. The organization uses Python async frameworks for IO-bound services. Spotify’s web backbone, which consists of multiple interconnected services, heavily relies on Python. Around 80% of these, according to the business, are written in Python. Luigi, a Spotify-developed data analytics tool, which drives Spotify’s Radio and Discovers features and recommendations, was built to swiftly prototype complex data processes. Luigi is also written in Python.

Reddit is a social news aggregation platform usually referred to as the internet’s front page. The server-side of Reddit is written in Python. The company admires the programming language because of its vast libraries. Even new developers may get started coding on the project because the code is exceptionally expressive, understandable, and straight. When every time you send a request to Reddit via your browser, the web server utilizes Python to translate it. The relevant HTML is subsequently sent back, which you see in your browser. You can think of Python as the link between your server request and what appears on your screen in this situation.

11. Facebook (Meta)

Facebook (now renamed Meta), the world’s most popular social networking site, has kept us connected to our friends and stalking exes since 2004. Unless you’ve been living under a rock, you’re aware that the site is involved in various activities, from messaging to live-streaming. As a result, its products and services are available in multiple languages. On the other hand, Python plays a significant role, accounting for at least 21% of their codebase.

Amazon also uses Python. Thanks to Amazon, we can get almost anything delivered to our doorsteps at the touch of a button, and we don’t have to worry about how it gets there. Amazon employees, in particular, have created Python machine learning algorithms that work with the company’s Hadoop data storage system. Amazon’s well-known recommendation engine, which urges us to buy new things, is powered by this powerful analytics stack. Python assists Amazon is recommending even more items for us to believe by analyzing user search and purchase habits. Isn’t it cool?

Yahoo! , Google’s main competitor, uses the Python programming language in various projects. Yahoo! Maps makes use of the language and its frameworks. Although Yahoo Maps is losing ground to competing map service providers, it still has several valuable features. Apart from that, Python is used in several Yahoo interface designs. The language has provided platform search capabilities akin to Google.

14. Instacart

Instacart promises one-hour grocery delivery from your favorite merchants. It quickly becomes one of the most popular grocery delivery applications, with over 500,000 users and $2 million in sales. They make the estimates using Python or R code, which reads all of the data, calculates how many shoppers we’ll need in the next week or two, and then writes those values. In North America, the grocery delivery and pick-up service now service 5,500 cities. Python is used to estimate, validate, and read data from many sources. They can use Machine Learning methods to find demand and supply approximations with the language’s help. Instacart heavily uses the vocabulary in its development.

Disqus , a well-known commenting plugin, moderates incoming content and assists in comment control. This global comment hosting service allows users to leave comments on thousands of blogs and websites worldwide. It has Django-powered social media integrations, statistics, and tools for controlling one’s online profile. For security features and frequent security fixes, it uses Python and its framework Django. The plugin supports multiple sign-ins and notifications to keep users informed. Python programming plays a significant role in this.

16. Survey Monkey

Survey Monkey may be the first name that comes to mind when conducting online surveys. Ryan Finley’s cloud-based Software as a Service company, which he launched in 1999, was similarly built entirely in Python. Python has made it simple to use and incredibly interactive. It gives the site a more interactive and user-friendly feel. It can handle a lot of traffic, and Python helps with scaling. Python is used by Survey Monkey, one of the most valuable research tools, because of its extensibility and readability.

Bitly , a prominent link management software founded by Peter Stern in 2008, shortens almost 600 million connections every year. Python is also responsible for the creation of this website. It maintains over 600 million URLs per year and is the world’s most popular URL shortener. Because of Python’s popularity as a user-friendly programming language for constructing websites, aspiring programmers and web developers worldwide are taking advantage of web development training to master this user-friendly programming language.

Lyft is the fastest-growing ride-hailing service in the United States, with more than 200 locations and 14 million monthly rides. Lyft is one of several company logos on-hire bikes, scooters, and cars worldwide. Python is a favorite of Lyft’s. NumPy, Pandas, and PuLP are commonly used by services to serve requests via Flask, Gevent, and Gunicorn. To combat fraud, they use SciPy, and to provision hosts, they use Salt. They also operate their web server with Flask, serving data with scikit-learn, and manipulating using Pandas. In a nutshell, they use Python extensively!

Python is a popular choice for web development because of its basic capabilities. To begin with, Python is a free, open-source, and widely used programming language. But, more crucially, it is extremely adaptable. Python enables programmers to design websites using a variety of programming techniques. It can be used for both object-oriented and functional programming, for example. It also can type dynamically. This is advantageous for web development since it needs less coding and facilitates debugging.

That’s all there is to it! Python, as we’ve seen, is a powerful and widely used programming language with a wide range of applications, including web development. If you’re new to coding, we hope our list of top 18 Python website examples has demonstrated how beneficial adding this string to your bow is.

Do we hope this article has inspired you to take the plunge with learning Python for web development? Let us know your thoughts in the comment section below!

1. Is it possible to create a website with Python?

Yes, Python can be used to create a website, and it can be done pretty quickly. Even though Python is a general-purpose programming language, it naturally extends to web development.

2. What well-known websites make use of Python?

Most popular websites, such as Google, Netflix, Instagram, and YouTube, employ Python programming language in their backend.

3. How does Netflix use Python?

According to developers, python is utilized throughout the whole content lifecycle at Netflix, from security tools to recommendation algorithms and its proprietary content delivery network (CDN) Open Connect. Python-based apps manage the majority of Netflix’s network equipment.

4. Is Python used by Amazon?

Yes. Amazon, one of the most well-known players in the online marketplace, employs Python in a number of aspects of its platform. Implemented in Amazon’s product and deal recommendation system, which analyses and recommends things to customers using Artificial Intelligence and Machine Learning.

5. In Website Development, which Python framework is most commonly used?

Django. It is the most popular full-stack Python framework, ranking among the top five web frameworks in 2020. It is open-source and free to use, with many functions that make web building much more accessible.

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25 of the Most Popular Python and Django Websites

Updated: december 14, 2020.

We at Shuup are proud of the fact that we are built with Python on top of the Django web framework – and we are not alone. Some of the most popular and widely used websites and applications that you use every day are built using these same open source tools. The success of these shows the power of the Python language and Django framework.

Shuup is written in Python and benefits greatly from its inherent capabilities . Python was chosen for its reliability, clean code, and for the enjoyment of the developers working with it. It is extremely powerful and yet fun to work with. Here are some highlights of the most famous sites that seem to agree (Data provided by Hartmann Software Group and NetGuru ).

We all know YouTube as the place to upload cat videos and fails. As one of the most popular websites in existence, it provides us with endless hours of video entertainment. The Python programming language powers it and the features we love.

DropBox started the online document storing revolution that has become part of daily life. We now store almost everything in the cloud. Dropbox allows us to store, sync, and share almost anything using the power of Python.

Python also provides the power behind the most popular search engine in the world – Google. The programming language can handle the traffic and computing needs of the search engine and its connected apps.

Ready to launch your Python marketplace? Start today

Need help getting started? We’re here to discuss your business requirements.

Uber – one of the 2 biggest rideshare driver networks – uses Python for their API’s, calculations, and business logic . Python can handle tons of data and perform complex calculations like accurate driver ETA’s.

Lyft – the other largest rideshare driver network – uses Python for data processing and machine learning . Python can help predict models and behavior for machine learning uses and improvements.

Facebook – the biggest online community in the world – uses Python for a big portion of their technology infrastructure . Python helps handle millions of pic uploads, posts, and status updates.

Netflix is global, moving from movie streaming to movie and TV production powerhouse. Powerful analytics based on Python choose recommended movies and shows just for you.

Quora is the number one place online to ask a question and receive answers from a community of individuals. Relevant results are answered, edited, and organized by these community members. Python provides the functionality.

Get started building your Python marketplace!

Don’t know where to start? We’re here to help.

We all know Instagram as the place to share your life in pictures. The Instagram website is built using the Python programming language and allows users to browse, find and post pictures.

Spotify is an application that allows you to find, play and share music for free. With the options of a free ad based subscription or an ad free paid subscription, Spotify gives you access to the music you want. Spotify does this with the power of Python.

Shuup is an enterprise multivendor software platform you can use to build marketplaces like Amazon, eBay, Grubhub, Fiverr, or SkipTheDishes. Let merchants sell products, services, rentals, and electronic goods through a scalable, multivendor ecommerce marketplace .

Have a Python marketplace idea? Start development today!

We’d be love to help you meet your business requirements.

Reddit is known as the front page of the internet. It is the place online to find information or entertainment based on thousands of different categories. Posts and links are user generated and are promoted to the top through votes. Many of Reddit’s capabilities rely on Python for their functionality.

Yahoo maps may be losing the battle to other map service providers, but it still holds some powerful tools. Yahoo’s map program runs on Python as well as many of its other programs.

Hipmunk is an online consumer travel site that compares the top travel sites to find you the best deals. Python powers the sites tools that allow you to find the cheapest hotels and flights for your destination.

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And now for some …

Django just celebrated its’ tenth anniversary proving that it can stand the test of time. We at Shuup chose Django as our web framework due to its scalability, security, rapid development and amazing community. Kenneth Love over at Treehouse provides some more great reasons to choose Django for your next project. Here are some popular Django projects that you might know (List provided by CoderFactory )

Pinterest is a visual discovery tool that allows users to showcase their interests through the posting of pictures. Users can also follow and share other users’ pictures and content all through the power of Django.

The Onion opened its website to provide an online venue for their satirical newspaper. The newspaper has for a long time been a source of entertaining articles on fictitious news stories. Django provides the framework for The Onion’s online presence.

This global comment hosting service provides an interface for comments on thousands of blogs and websites. It includes powerful social media integrations, analytics, and tools for managing one’s online presence – all powered by Django.

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Washington Post

The Washington Post’s website is a hugely popular online news source to accompany their daily paper. Its’ huge amount of views and traffic can be easily handled by the Django web framework.

The National Aeronautics and Space Administration’s official website is the place to find news, pictures, and videos about their ongoing space exploration. Its’ huge amount of views and traffic can also be easily handled by the Django web framework.

Bitbucket provides a cloud based hosting site for source code management and collaboration. Developers can host their projects in Bitbucket to utilize many of their tools and services. The site and its’ tools are built on top of the Django framework.

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Reddit Gifts

The hugely popular Reddit website has launched an online, anonymous gift exchange and meetup platform called Reddit Gifts. The site connects users from around the world and facilitates the gift exchange between them. The Django web framework powers its’ functionalities.

Prezi is a cloud based alternative to Microsoft PowerPoint built on the Django framework. The site provides a virtual canvas that can be manipulated and zoomed into and out of. This provides the entire view of the presentation rather than individual slides.

Pitchfork brings indie music together and provides daily publications. The Django based platform provides a venue for criticism, commentary, news, and interviews. Its’ focus is on independent music.

The Python programming language and Django web framework are both tried and tested and have proven to be more than capable of handling even the most demanding of applications. We at Shuup love working with them and hope to inspire more to jump on the Python and Django bandwagons.

Check out our Python and Django development activity over at the Shuup Github

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13 Real-World Examples of Python in Web Development

Python is all the rage in developer and tech circles right now. But which big companies use Python for web development? Find out in this guide.

There’s been a lot of hype about the Python programming language over the last few years. But is that all it is? Hype?

In web development circles, there’s no doubt Python is one of the most popular coding languages. The 2023 Stack Overflow Developer Survey reported that Python sits in a close second place as the language developers most want to learn. The survey also highlighted that having Python in your toolkit commands a higher salary, which matches our own research into how much Python developers can earn .

Convinced yet?  

In this post, we’ll explain what Python is and how it’s used for web development. We’ll then dive in with 13 real-world examples of Python in web development. In all, we’ll cover:

• What is Python?
• How is Python used for web development?
• 13 real-world examples of Python in web development
• How to become a Python developer
• Python in web development FAQs

Ready to learn more? Let’s dive in.

1. What is Python?

In short, Python is currently one the most popular computer programming languages in use.

This isn’t simply hyperbole: on the software development platform, Github, Python is the number one most popular programming language , replacing JavaScript (which as we’ll see in the next section, is no bad thing).

A young Dutch coder called Guido van Rossum created Python back in 1991. He wanted to develop a multipurpose programming language that would work across multiple programming paradigms and emphasize code readability.

Back then, most coding languages were pretty abstract. Python allowed developers to express programming concepts using fewer lines of code and in a much more intuitive way. This was pretty revolutionary. And so, while Python was first intended for writing basic scripts, it soon grew in popularity. And in the digital age, it has boomed.

Python is sometimes referred to as a “batteries included” language thanks to one of its standout features: the Python Package Index (PyPI) , which has over pre-existing 70,000 libraries of code .

For all these reasons and more, Python is now used on projects large and small, across many different disciplines from special effects and data analytics to deep learning and, of course, web development.

The language is being constantly improved with new releases, with Python 3.8 particularly full of useful features .

2. How is Python used for web development?

Python’s core features make it a popular option for web development.

Firstly, Python is free , open-source , and widely available . More importantly, though, it is also highly adaptable . Python allows developers to create websites according to several different programming paradigms.

For instance, it’s suitable for both object-oriented programming (OOP) and functional programming (FP). You can learn about the differences between the two in our guide to FP vs OOP .

It also boasts dynamic typing capabilities . In layman’s terms, this just means that Python scripts don’t require compiling (or translating) before execution. Instead, they’re executed at runtime. This is useful for web development, since it requires less coding and makes debugging easier . We could go and, and in fact, we have—we’ve created a beginner’s guide to the advantages of web developers learning Python .

Also, remember how we said Python is number one on the list of most popular programming languages? Number one in 2022 was JavaScript .

As it happens, there’s a reason these two languages are the most popular. Namely, JavaScript and Python are often used together . Web developers may use JavaScript to create the presentation layer (or frontend) and Python to create the server-side layer (or backend).

Fortunately, backend coding using Python is much easier using web frameworks freely available on PyPI. Two of these, Django and Flask , are especially popular and remove much of the heavy lifting from backend coding. These libraries are widely accepted as secure, scalable, and—once you get to grips with Python’s straightforward syntax—easy to use.

Of course, you might find this all a bit abstract at this stage. We now understand how Python is used for web development, but what does this look like in practice?

Next, we’ll take a look at some of the most famous Python website examples so that you can see this language in action.

3. Real-world examples of Python in web development

Is Python that popular, we hear you ask? The answer is a resounding yes!

Realize it or not, you use it all the time. From binging the latest series on Netflix to checking your DMs on Instagram, many of our most beloved websites and apps incorporate Python into their tech stack . Frankly, its ubiquity alone is a testament to the fact that Python is well worth adding to your development toolkit.

Next, let’s look at 13 Python website examples that demonstrate just how dynamic and adaptive this language can be.

If you ever wanted evidence of a company that kept pace with digital change, Netflix is the one! While Netflix used to rent DVDs by post, they quickly jumped on the digital bandwagon and expanded to become one of the most popular streaming services in the world.

From a web development standpoint, Python is at the core of their success.

Developers at Netflix explain that they use Python throughout “the full content lifecycle.” In short, this means that Python sits at the base of many Netflix applications from their security tools and recommendation engine, to their in-house content distribution network, Open Connect (which delivers streaming content to its end users). Now you know!

The go-to forum for everything from news to bleeding-edge social commentary, Reddit has long been a staple of the world’s internet diet. But did you know that its server-side is coded in Python?

You don’t see it, but whenever you send a request via your browser to Reddit, the web server (Reddit) uses Python to translate your request. It then sends back the necessary HTML, which is what you see in your browser.

In this case, you can think of Python as the middle man between your server request and what pops up on your screen. Who knew?

If you’re old enough to remember the tedious days of ripping CDs onto your computer DVD drive (the what drive?) then you’ll appreciate just how much easier Spotify has made it to listen to music.

Spotify makes heavy use of Python on its web backend, which comprises many interconnected services. According to the company, around 80% of these are coded using Python .

Spotify also has a proprietary data analytics package called Luigi. Designed to quickly prototype complex data jobs, Luigi powers Spotify’s Radio and Discover features, as well as recommendations for people you might want to follow. And what language is Luigi coded in? You guessed it: Python.

First launched in 2008, the file hosting service Dropbox was doing cloud storage long before it was cool!

Today it remains at the cutting edge of the sector and much of its success is down to Python. Dropbox has used Python since its inception, both server-side and on the client end.

The language’s cross-platform support and readability led Dropbox to adopt the language since these allowed them to implement, test and deploy new product features at speed.

The company is also a firm believer in open-source. They regularly share their innovations with the wider world–something we like to see! The company is so focused on Python that, from 2012 to 2019, they even employed Guido van Rossum, Python’s creator.

Probably the internet’s most famous Q&A site (at least since Yahoo Answers departed—RIP) Quora is best known for its compelling questions and occasionally dubious responses.

Nevertheless, it’s hugely well-known and is another site that makes heavy use of Python.

Being such a dynamic site, Python has allowed Quora to build and test new functionality with fewer lines of code, streamlining their new feature development.

Thanks to Python’s simplicity of use, designers, data analysts, and even non-engineers can write code as and when required. In terms of their exact tech stack, Quora uses numerous Python libraries on its backend, including Tornado and PyPy , amongst others.

Never has getting from A to B (or ordering takeout) been as simple as it has since Uber arrived in our lives. But did you know that much of the ride-hailing app’s functionality is built using Python? Like Quora, they tend to use Tornado .

And while Python isn’t the only language Uber uses (it accounts for about 35% of their tech stack) much of its backend functionality relies heavily on it. This includes data analytics features for predicting supply and demand, user surges and arrival times—highly mathematical functions that Python is ideally suited to.,  

Because of Amazon, we can get pretty much anything delivered to our doorsteps at the click of a button, and all without needing to spare a thought for how it arrives there. Thanks, Jeff Bezos! But did you know that Amazon uses Python, too?

In particular, Amazon engineers have produced Python machine learning algorithms that interact with the company’s Hadoop data storage system. This mighty analytics stack powers Amazon’s famed recommendation engine that encourages us to purchase new products. Analyzing user search and purchase habits, Python helps Amazon recommend even more stuff for us to buy! Cool, huh?  

The virtual pinboard and social bookmarking site Pinterest has been gracing our computer screens for over a decade.

It allows users to curate image collections for everything from puppies, to wedding dresses and driftwood art. As is often the case with new websites, Pinterest was initially built using Python, because that’s what languages its developers knew best.

It’s since taken a more pragmatic approach, with former Pinterest Chief Technology Officer, Vanja Josifovski, explaining that Pinterest uses many programming languages depending on the use case. However, the site’s continued reliance on machine learning strongly suggests that Python remains a core part of their tech stack.  

Lyft: One of many company logos you may recognize on hire bikes, scooters, and cars in cities across the world. Like Uber, there’s no question they’ve transformed urban mobility. Also like Uber, Python is a core language at the company.

According to their Principal Tech Lead, Roy Williams:

“It’s not uncommon for us to have services configured by Salt (written in Python) while running a web server with Flask, serving data with scikit-learn, and manipulating with Pandas… this is pretty common for us.”

In short, they use Python widely! Be sure to check out Roy’s whole talk on YouTube.

Google, the search engine so ubiquitous it spawned its own verb (Google it, if you don’t know what we mean). Early on, Google’s engineering team famously decided: “Python when we can, C++ when we must.” And hey, it seemed to work out for them.

Today, Python is an “official language” at Google and has many continued applications across the organization, from system building and administration to code evaluation.

Of course, as the need for data analytics becomes increasingly important in big tech, Python is also used in many of Google’s cutting-edge machine learning and AI projects.

Distracting us from existential angst with kitten videos since 2005, the world’s largest video streaming site is a prime real-world example of Python in web development.

YouTube functionality including view video, administrator video, data access, and website control templates are just a few ways in which Python powers the site.

Interestingly, though, it didn’t start this way. YouTube’s original codebase was PHP. Over its first few months, however, the founders migrated it to Python, due to the latter’s greater speed, performance, and flexibility. A pretty compelling advertisement for Python, in our book.

Facebook (Meta)

The world’s most famous social networking site, Facebook (now hurriedly renamed Meta) has kept us connected to our friends (and stalking exes) since 2004.

Unless you live under a rock, you’ll know the site has its finger in many pies, from dating to live-streaming. As a result, it relies on many different languages for its products and services.

However, Python plays no small part, accounting for at least 21 percent of their codebase , mostly in the area of production engineering. Oh, and remember that Tornado web framework we mentioned (used by Quora and Uber)? Yep, Facebook developed it.

Best known for its starring role in the invention of the selfie, picture sharing site Instagram is another social platform that’s now so ubiquitous it’s impossible to imagine life without it. And we have Python to thank.

Instagram’s original backend was built on a Django framework—still used to this day. And since Meta (formerly Facebook) bought Instagram, the integration between the two platforms has grown increasingly complex. APIs, search mechanisms, and other functionality are all coded in Python. Bet you didn’t know that!

4. How to become a Python developer

As these real-world examples of Python in web development show, the language is far more than just hype. It’s a core component of some of the biggest websites and apps in the world.

And, since these companies sit at the top of the tech economy, Python certainly won’t be going anywhere any time soon. And why would we want it to? It’s versatile, secure, and scalable. Plus: it’s easy to learn .  

So, if you want to become a Python developer, what first? The main thing to decide is if you want to use it more for web development or something else, like data analytics. Both are popular applications of the language, but as our Python website examples demonstrate, web development is a good choice.

If you agree, then we’d recommend getting to grips with the Django web development framework first. It’s well-established, widely used, and gives you a chance to learn the basics. Here are few things to get you started:

• Read up on Python: Before you commit to learning it, make sure you research Python further—find out about its applications and decide which you’d most like to learn.
• Download the necessary tools: To get started, you’ll need to download and install the latest version of Python and an appropriate integrated development environment (IDE).
• Take a tutorial: Start learning the basics of Python with some online tutorials, like this Python for Beginners guide or this introductory YouTube video .
• Get support online: Got questions? Seek out advice from other developers on a forum like Stack Overflow or the GitHub community .
• Take a structured course: Once you’ve done all of the above, you should have a better idea if Python is for you. If it is, why not invest in a structured online course of study?

5. Next steps

So, there we have it! As we’ve seen, Python is a versatile and ubiquitous programming language with many popular use cases, not least in web development.

If you’re a total coding novice, we hope our Python website examples have shown you just what a useful technology it is to learn. Feel like adding it to your own skillset? While there are a number of online specialization courses available in Python for programmers, chief among them is the CareerFoundry Python for Web Developers course .

Studying flexibly at 15 hours per week for two months, you’ll learn to master Python, in particular the Django framework. At the end of this mentored course you’ll emerge with not just Python in your toolkit, but also a certificate and projects for your web development portfolio .

Check out the following to learn more about the field:

• What’s a web development framework and why are they useful?
• Key differences between jQuery and JavaScript: An expert guide
• What are the best web development bootcamps at the moment?

6. Python in web development FAQs

Is it good to use python for web development.

Netflix, Reddit, Spotify, Uber…these are just a few examples of companies which owe a lot of their success to their apps and technologies built using the coding language Python in their web development. The language is easy to deploy as well as to read, making it a good one to use for programming.

Why is Python so commonly used?

Simply put, Python’s flexibility and ease-of-use are two big reasons it’s so commonly used. These things allow developers to build complex scaleable apps quickly, making it a tech company’s dream.

Is Python in demand for web development?

While it was always popular, particularly for working with databases and for analysis, a major change in the tech landscape has caused it to become even more in demand. Python is one of the better languages, along with C++ and Java, for working in AI development. And with the AI market predicted by Statistic to be worth almost  2 trillion U.S. dollars by 2030 , it’s safe to say Python developers will stay in demand.

Code Conquest

The 50 best websites to learn python.

April 15, 2016 by Code Conquest

Python is an elegant, high-level programming language that is relatively easy to learn and includes multiplatform support.

The latter feature is important because generally as a developer you would need to learn multiple languages to cross the barrier between platforms. On mobile, for instance, Android uses Java while Apple’s iOS uses Swift or Objective-C. There are tools to easily port apps and software between separate platforms, but they come with their own set of drawbacks. It’s always better to create a native app.

Python is so deep and easy to learn, that it is one of the most recommended languages among education and research markets. A lot of students start their coding or programming journey by learning Python.

According to a report from Tiobe , Python was in the top five most popular languages for 2016 right at number 5. During the same period last year (April 2015) it was in position number 8. Through that info, you can see just how popular the language has become in such a short time.

It helps that there is an abundance of online tutorials, courses, and educational books about the language.

Just to provide a frame of reference, you could learn the absolute basics of Python within just the first hour of working with the language. The best Python tutorials will actually have you coding simple apps in that time, as well. Obviously, you’re not going to be able to whip up a full-scale application with that small amount of training, but you’ll know enough to dive in and get started.

Where Should You Start?

Python is considered to be one of the easiest programming languages to learn, and because it harbors an incredible amount of depth it is extremely versatile. You can use the language for anything from web development to game development.

Plus, the language serves as a gateway to other, similar languages like PHP, Ruby, and much more.

The best way to learn – especially when it comes to a programming language – is by doing. Therefore, the best way to start learning Python is to choose a lesson or course that peaks your interest and jump in.

When it comes to learning how to code , it is fairly easy to teach yourself.

You don’t need to spend thousands of dollars for a degree or one of the popular coding boot camps. One of the best ways to hone your skills is through practice. That is, trial and error.

To help you get started, we have compiled a huge list of resources that will either help you get started with Python or broaden your understanding if you already know the basics.

We’ll explain which of the options below are more suitable to your tastes — whether you’re at a beginner, intermediate or expert level.

Top 50 Websites to Learn Python

Keep in mind, the first ten resources on this list are some of the best around. The following forty, then, are not listed in any particular order.

1. Code Academy

Code Academy is a free, online learning center for all things programming. They offer lessons in a variety of languages and topics, not just Python.

What makes it special, is that you can write code directly in your browser and see the results pan out live. This is useful when you’re starting out because it eliminates the need to setup a development environment for practice exercises.

This portal is best suited for beginner to intermediate coders. During your time working with Python through Code Academy, you’ll build your own tip calculator tool, and a board game based on Battleship.

Python topics you will learn include common syntax, strings and console output, conditional and control flow, loops, functions, file input and output, lists and dictionaries, and much more.

Price: Free

2. TutorialsPoint

TutorialsPoint is another site like Code Academy that offers free tutorials with the option to test out code directly in a browser window.

They offer one of the most comprehensive tutorials for novice coders that will take you through the basics and beginner stages of the language all the way to expert level tasks. You will learn how to set up a Python development environment, write basic syntax, work with variables, operators and loops, and much more.

What makes TutorialsPoint’s guide so comprehensive is that it also covers advanced Python topics like database access, CGI, and game programming, the use of multithreading, XML processing, networking, GUI design, and more.

3. Codementor.io

Codementor is designed for intermediate to expert developers who are already working with the language in question. There are some tidbits for beginners scattered throughout, but this is certainly not a portal for novice coders to spend a majority of their time.

Each post on the site is a separate tutorial that covers a specific focus, like sorting Git Authors in an app with code, integrating Node.js with Python, using Python decorators and more.

4. PythonChallenge

If you’re the type of person that would much rather be challenged and put under a small amount of pressure to increase your learning capacity, PythonChallenge is right up your alley.

It isn’t the prettiest site in existence; actually, the design is downright ugly. However, the challenges and lessons you will participate in are invaluable to learning Python. There are 33 levels to master currently, with over 2,000,000 visitors to the site to date.

5. Google’s Python Class eBook

Due to the nature of the material, Google’s Python Class eBook is best suited for intermediate to experienced coders. It is well written and clearly explains various concepts related to Python, yet it’s more about programming theory as opposed to the practical application of it. Therefore, you won’t find any step-by-step tutorials or in-depth guides.

This makes it a great travel companion for Python developers who want to stay in the loop while they are on the move.

There are multiple books available, and you can download companion exercises to execute locally on your machine. This allows you to work with and test out different snippets of code.

6. Python.org

When in doubt, you can always turn to the official documentation for a language. Python.org is the official channel for the developers of Python, so you can find plenty of references, materials, and resources on working with the language.

As you’d expect, they have a great beginner’s tutorial that will walk you through the basics. Then, you’ll learn about more advanced topics like different Python libraries, distributing modules, and much more.

7. Learn Python the Hard Way eBook

Once again the challenge is the main focus. Learn Python the Hard Way is a free eBook that you can read in full. The online version can be accessed from any device including mobile, and is always free. If you want a paper or digital copy of the book – to read offline – you’ll need to pony up some cash ($30).

Apparently, more than 1.5 million people have read this eBook annually. That’s an impressive number, even more so if they all went on to work with Python in some form or another.

8. LearnPython.org

One of the first ideas we discussed is that it’s best to learn by doing. LearnPython.org has designed a platform where you can do exactly that. Rather than spend your time combing over an endless stream of text, this website allows you to participate in interactive tutorials. You get to work with the Python language right in your browser.

You’ll start with the infamous “Hello World,” tutorial and move on to more advanced topics if you stick with the course. This portal is best for beginner to intermediate level coders.

9. Invent with Python eBook

Another way to learn and retain knowledge is to ensure you are having fun and enjoying yourself while you do so. That’s the driving idea behind the Invent with Python eBook .

Every tutorial, tip, and lesson have to do with serving a specific purpose through the use of Python. For instance, the book

For instance, the book Invent Your Own Computer Games with Python will teach you how to make games. With each progressive lesson, the games get more complex and require a more advanced use of the language. By the time you’re done, you’ll have a firm grasp of Python – enough to strike out and build applications or games on your own.

The online versions of the books can always be accessed for free, but there are options to purchase them for access offline too, for a price.

10. Dive into Python 3

Dive into Python 3 is an online book that covers the difference between working with Python 3, as opposed to Python 2. Since it’s licensed under a Creative Commons license you can also download HTML and PDF versions of the book for free.

This book is a great resource for all coders from beginner to experienced, and there’s material here for everyone.

11. Python for Beginners

Although Python for Beginners has been idle for some time it’s under new management. Recently, the site received a design overhaul and some new content in the form of a beginner’s Python tutorial.

As for the regular content on the site, you’ll find a long list of Python coding guides and snippets that you can use in your own projects. For this reason, the site is ideal for Python developers of all skill levels, even those with considerable experienced under their belts.

12. Pythonspot

As the name suggests, Pythonspot is a great place to find a variety of Python-centric resources and tutorials. All content is separate into categories by skill level, tutorial type (like GUI and Network guides), and platform (Android, iOS, etc).

13. Learning Python Magic Methods

Magic method is an advanced concept for object-oriented programming languages. Unfortunately, the official Python documentation doesn’t explain it well.

Refekkettler – the creator of Learning Python Magic Methods – created the site to remedy that problem. Obviously, the material is for intermediate to advanced level Python developers.

It’s essentially an online resource guide; you can also download a PDF version for access offline if need be.

14. AfterHoursProgramming.com

The  AfterHoursProgramming  tutorial features a native code simulator that allows you to write and deploy code from your browser. It starts off with some basic and simple concepts and moves to more advanced topics. For instance, later exercises walk you through building web applications with some neat interactivity features.

At the end of the course, you can take a pretty extensive quiz to test retention of the knowledge you learned.

15. theNewBoston Basic Python Tutorials

theNewBoston is a popular training crew, renowned for their in-depth video tutorials hosted on YouTube. They have a series of tutorials on Python 3.4 Basics that are phenomenal, especially for newbies.

16. NewCircle Python Fundamentals Training

NewCircle Training is another great channel for coding and beginner tutorials on a variety of subjects. They offer a Python Fundamentals Training series which is just as invaluable as anything else on this list. Video tutorials are excellent if you’re more of a visual learner.

17. A Byte of Python Online Book

Written by Swaroop, A Byte of Python is a beloved online tutorial book that serves as a great beginner resource, as well as a future resource for intermediate coders who might need to look back at thorough documentation.

18. Coursera Python Course by Rice University

Like Code Academy, Coursera offers free online courses for those willing to learn. Most of the courses on Coursera, however, are affiliated with actual colleges and universities.

The Python Course is provided by Rice University and is offered as a 7-course series in two separate parts. It must be followed over the course of several weeks (so you’ll need to have time set aside for this), and you have to register for the online classes like you would at a local college or university. The good news is that it’s free to register and attend the courses.

If you want a certificate to show for your hard work you’ll need to pay extra.

19. Think Python Online Book

This resource also comes in the form of an online book. You can purchase the paper version of Think Python via Amazon if you are so inclined. Otherwise, access to the online version is free.

The book actually aims to teach beginners computer science fundamentals and programming basics. To better explain these topics, it does so by relating the information to Python. So, you’ll learn both the foundation of programming and Python language at the same time.

20. Getting Started with Django Video Series

Django is a convenient, development framework built on the Python language. A framework essentially makes a developer’s job easier by implementing a more modular form of a language.

The Getting Started with Django video series is a great way to introduce yourself to the framework and get a much better understanding of Python in the process.

21. Code School’s Try Python Interactive Coding Environment

If you’re the type of go-getter that doesn’t want to bother with sorting through a heap of text-based tutorials and guides, Code School’s Try Python is just for you.

It throws you into the thick of things and provides an online, interactive environment to begin coding with Python right away.

22. Interactive Python

Runestone Interactive offers a plethora of open-source, online textbooks, for beginner and intermediate level coding classes. Many of them focus on Python, especially their Interactive Python series.

All books are free to access and use, but you’ll want to register for an account (also free) so that you can save your spot – unless you plan to read the textbooks in one sitting, which is highly unlikely.

23. Code Nerd Python Tutorial Videos

Video tutorials are an excellent way to soak up knowledge and skills, and Code Nerd’s Python Tutorial series is no exception to that rule.

The videos are easy to follow, well-written, and cover a range of important topics related to Python.

24. Python Fundamentals

The Python Fundamentals course hosted on Pluralsight isn’t free, unfortunately. However, it happens to be one of the most thorough and informative guides on Python you’ll find. Not only does it explain how to use Python, and elaborate on what certain functions of the language are for, it also explains the natural order of the language. This helps you better understand why things are a certain way in Python compared to other languages.

Keep in mind the price listed below is for a Pluralsight subscription and earns  you access to their entire database of tutorials and content, not just this one.

Price: $299 annually ($24.92/mo)

25. Learning to Program Version 3

Alan Gauld is both a moderator and regular contributor for the Python tutor mailing list. He also happens to be responsible for Learning to Program . The site offers beginner tutorials designed to introduce programming newbies to the basic fundamentals of coding.

Version 3 – which is the version linked – centers on the use of Python Version 3.

26. Intro to Computer Science

Udacity is another free online training platform, which hosts an excellent – and free – Intro to Computer Science course. Even though the focus is on computer science and programming as a whole, you’ll primarily be working with Python for the exercises and projects.

During the course, you’ll learn how to build your own web crawler, search engine, and social network using Python.

27. Python Crash Course

Python Crash Course affords several assumptions, the first being that you’re already an experienced developer and understand object oriented programming.

The course is comprised of a series of documents and presentation slides, that are meant to serve as a teaching aid.

28. Python Tutor

Python Tutor is a portal to learn the basics of programming and become familiar with a bunch of languages including Python, Java, JavaScript, C++, Ruby and more.

29. Real Python

Real Python is a premium online course with multiple subscription levels. With your purchase, you’ll gain access to over 1,300 pages of content, 9 hours of video, exercises, sample files, and course assignments.

Price: Starts at $60

30. Full Stack Python

This portal is for intermediate to experienced developers. If you are already proficient in Python, but would like some more guidance on where to go next, check out Full Stack Python .

You’ll be assigned individual projects to complete like building a certain type of web app, website demo, or module.

31. PythonLearn

If you are familiar with the concept of informatics, PythonLearn is a resource portal you might be interested in. Naturally, it is meant for developers that work with Python on a regular basis.

32. CS for All

Written by professors at Harvey Mudd College, CS for All explores the foundation of computer science through the use of Python. The content is straightforward and accessible, and it was clearly structured to accommodate the layman. That’s not to say experienced developers can’t look to it as a resource, however.

33. Twilio Blog: Python Projects Tag

The versatile company Twilio has turned their blog into something of an authority on all things technology-based. The Python Projects tag narrows down visible content to posts that are directly related to Python.

Each tutorial explores a unique project that you can complete using the language. Some examples include sending selfies without servers using Python, developing a personal ISS tracker, and generating Choose Your Own Adventure style presentations.

34. Intro to Programming with Python

Despite the fact that this resource has another generic sounding name, Introduction to Programming with Python is a great place to find information on Python from basic to intermediate topics. There’s even a section dedicated to what you should do after completing the tutorial.

35. Think Python: How to Think Like a Computer Scientist

O’Reilly, the popular training book provider, has made Think Python: How to Think Like a Computer Scientist available for free online.

There are links to purchase a physical or digital copy of the book too.

36. Web Development: How to Build a Blog

This free Udacity course was created by Steve Huffman, one of Reddit’s founders. As the title suggests, Web Development: How to Build a Blog walks you through basic web development concepts and teaches you how to build web applications with Python.

It is for intermediate coders that already have some experience with the language. Beginners can always start with the Intro to Computer Science or Programming Foundations with Python courses.

37. Learning Python by Matt Makai

Renowned developer Matt Makai wrote a useful post on his personal blog about Learning Python as a beginner. Most importantly, it talks about the best place to start if you have no former programming knowledge and provides some valuable resources – some of which are already on this list.

38. Python for You and Me

Like most of the other free online books in this resource list, Python for You and Me starts with the basics and slowly builds to more complex topics. It made the list because once you complete the main content you can try your hand at creating your first Flask web app using the provided tutorial.

39. Practical Business Python

Practical Business Python is a niche blog that delivers Python scripts, snippets and tutorials to be used in the world of business. You’ll learn about creating advanced Excel workbooks, using Python for data analysis tasks, and much more.

40. Talk Python to Me

Talk Python to Me is an online podcast that features discussions from devs and thought leaders who actually spend their time working with Python. It’s a great way to pick up tips, tricks, and insights from some of the industry’s best influencers.

Because it’s a podcast, you can listen to episodes while you code, or complete other training programs.

41. Learn Python 3 in Y Minutes

This online guide is designed for experienced developers who are migrating from another language. If you already know the basics but want to better understand how Python is structured as a language, Learn Python 3 in Y Minutes is your poison.

42. The Elements of Python Style

The Elements of Python Style is essentially a style guide for the Python programming language. It helps establish a community standard that all developers would do well to follow. This is a valuable resource for everyone, but intermediate to experienced developers will definitely get the most use out of it.

43. The Hitchhiker’s Guide to Python

Borrowing inspiration from the sci-fi novel – and movie – of a similar name, The Hitchhiker’s Guide to Python is a massive reference about the language. There are also introductory guides about the Python dev community, which can be valuable for those just starting out.

44. OverAPI.com

A great resource for Python Cheat Sheets and other handy language printouts. This site has been around for a long time and has a very cool graphic representation of popular cheatsheets.

45. Awesome-Python

Because Python is so versatile and easy-to-use, developers have come up with a great many tools to use with the language. Awesome-Python is a downloadable list that reveals a ton of frameworks, libraries, and software you can work with as a Python developer.

46. Python Weekly

Python Weekly is a free, email newsletter that keeps you up-to-date on all the Python happenings and current events. You’ll get information about new tutorials, videos, potential projects, and much more.

47. CheckiO

Gamification is real big these days, and it also happens to be a great way to turn otherwise boring tasks into fun, addictive achievements.

CheckiO takes the process of learning programming and turns it into a game. If you can’t stand reading, watching videos, or listening to podcasts this is sure to steal your attention.

48. Learn Python Programming Fundamentals by Building a PyPet

Remember the Tamagotchi craze from the 90’s? If for some reason you don’t, they were cute, digital pets that kids – and adults – could spend their free time taking care of and playing with. Despite how exhausting that sounds, they were a lot of fun.

This Python Programming Fundamentals course will teach you the basics of the language, all while you work on building your own PyPet – a custom, Python version of a Tamagotchi. It’s a pretty fun and unique way to learn.

49. The Python Guru

The Python Guru is yet another beginner-friendly resource for learning the language.

50. Python Tips

Already know how to use Python and just looking for some tips and tricks you can file away for use later? Python Tips is a blog that includes regular content updates all related to the Python language.

That’s a Huge List of Mobile App Development Websites and Resources!

After reading through the list, you should be able to find at least one website or resource to aid in your mission to learn Python .

If you’d prefer to learn through a more educational or collegiate format, give one of the popular online code schools a try such as Treehouse , Lynda or Code School .

Disclosure of Material Connection : Some of the links in the post above are “affiliate links.” This means if you click on the link and purchase the item, I will receive an affiliate commission. Regardless, I only recommend products or services I use personally and believe will add value to my readers.

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Python for Beginners: Which Commonly Used Websites Are Built Using Python?

• Miscellaneous Python For Kids

Python web development is becoming increasingly popular among businesses for their technical needs.

According to Salary Expert, the average python developer’s gross salary in India is around 18,01,225. Python programmers adore the language due to its clarity and straightforward grammar.

Python is a popular back-end programming language that many of today’s top tech businesses use for their websites. Here are 6 well-known websites that were created with Python.

1. Instagram

Instagram is a well-known photo & video sharing social networking platform which has  approximately 1.440 billion users around the world. Do you know that Instagram uses Python programming language on its backend? As per Instagram’s engineering team:

Instagram currently has the world’s largest Django web framework deployment, which is written entirely in Python. We initially chose Python because of its reputation for simplicity and practicality, which aligns well with our “do the simplest thing first” philosophy.

Instagram engineers have created open-source tools like the Python static type checker Pyre, which Instagram uses to examine its server software and to enhance developer efficiency. Additionally, Instagram engineers have produced developer tools like LibCST for Python code analysis. Due to Instagram’s short restart time after testing new features Python is used for the purpose of fast iterations.

Spotify is one of the largest music streaming service platform with more than 433 million monthly active users. Python is primarily used at Spotify to serve Backend services and Data analysis.

Backend Services:

The backend of Spotify is made up of numerous interdependent services that are connected via a custom messaging protocol using ZeroMQ. As per experts, 80% of these services are written in Python programming language. Python is a good fit for Spotify as it puts a lot of emphasis on speed. Spotify also heavily rely on Python async libraries to aid IO-bound services.

Data Analytics:

Analytics are heavily used by the Spotify team in both product development and decision-making. We employ our Luigi package to make Hadoop interactions simpler. Spotify uses Luigi, a Python-based ETL tool, to power its Hadoop data intelligence operations. Instead of continuous, streaming activity, it helps developers schedule, manage, and track batch jobs. 

Dropbox is a cloud-based platform that serves the purpose of file storage, syncing, and, sharing etc. When we compare dropbox to more traditional methods of FTP or emailing filing as an attachments, we find that Dropbox has the capability to transfer large files which crosses the maximum attachement size limit. 

According to Dropbox’s freemium business model , customers can sign up for a free account with a certain amount of storage( 2 GB of free storage space). For more space, they need to get paid subscriptions as per their requirements. Dropbox uses Python because of its cross-platform support, better readability and Ease of learning. Python offers a rapid development cycle, which is essential for the implementation, testing, and deployment of new features in the Dropbox. 

Netflix is a video streaming site with a large selection of entertaining TV episodes, films, anime, and documentaries. Python-based apps are used by Netflix to manage the majority of their network devices. Netflix developers claim that from security tools to its recommendation algorithms and its in-house content distribution network (CDN), Open Connect, Python is utilised throughout the whole content lifecycle. 

Python is a programming language that is used by Netflix’s information security team to carry out a number of very essential tasks such as risk classification, vulnerability identification, security automation, and auto-remediation, etc. efficiently.

Netflix uses machine learning significantly in several areas. They base a lot of their machine learning applications on Metaflow, a Python framework that simplifies the use of machine learning projects and pushes the capabilities of Python to function even more effectively.

It’s interesting to note that Python web programming is solely responsible for the Bitly platforms’ existence. Python web programming is used by the well-known Bitly-URL shortener site to handle links. It now holds the title of most used URL shortener in the world, managing more than 600 million URLs created each month in a majority of companies across the world.

For building the frontend and backend interface for a website like Quora, Python performs far better than PHP due to its readability and efficiency. It streamlines the development process by enabling the creation of more functions with fewer lines of code.

Python accelerated the brainstorming process, saving Quora money, time, and effort. Python offers a far more robust environment and standard library, which could aid developers in writing code. Python 2.6 is easily switchable for Quora’s developers because it is compatible with many libraries already in use.

Summing Up!

In this python for beginners blog we have talked about 6 well known companies that use Python in their functionality one way or the other. We also learned the scope of learning python programming language.

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Beginner’s Guide: How to Create a Website with Python

Creating a website from scratch is no easy feat, and it takes more than sheer willpower and a few tutorials to do it. The key to building a good website today is using the right coding language. There are plenty of programming languages out there for you to choose from but Python takes the cake in terms of popularity and usability. Developed in the 90s, this programming language can help you build the website or program of your dreams!

Whether you’re looking to create a website for your business or you’re curious to learn about programming languages, you’re in the right place! Here’s everything you need to know about making the perfect website with Python. Follow this beginner's guide and go from noob coder to pro in no time!

Come up with a solid idea

Every good website, whether built-in Python or HTML starts with the right plan and idea. Building a website takes creativity , vision, and also technical skill. Before diving into learning how to code, decide exactly what kind of website you want to make with it first. Are you building a website for your brand or for your own personal enjoyment? What kind of purpose do you want your website to serve and what kind of features do you want to add? Once you have an answer to these questions, you’ll know where to focus your efforts and what coding skills to start learning!

Learn from the pros

One of the best ways to cement your knowledge of coding is to watch the masters at work. Whether you decide to sign up for a class, hire a professional coder, or watch some tutorials online, learning from the pros is a must. There are plenty of professional resources out there that can help guide you, set you on the right track, or give you good pointers. These Webflow websites at PaddleCreative.co.uk can give you some inspiration on some new and dynamic ways to build your website. Do some research, gather some inspiration and knowledge, and get to work!

Learn the basics

Once you’ve conceived your idea for a website and have consulted the pros, it’s time to learn the basics of coding! Think of learning Python as learning a new language ; because it is one! Approach learning how to code as you would learn any new foreign language, with lots of practice and study notes! Depending on your personal learning style, there are plenty of easy ways to learn how to code, but you have to start off with learning the basics. Buy a book, talk to a programmer, or do some digging online to find the tools and resources you need to learn the essentials of Python!

Put in the work

It’s not enough to have a great idea and to gather some tips from some pros to build a good website, you’re going to need to put in the work too. The best way to get good at coding and building your website is to get to work and practice, practice, practice! In the beginning, start off with some small but achievable coding goals . Do a couple of practice runs of getting the heading right or adding a specific feature to your website before working on the real thing. With a little elbow grease and time, Baby’s first website in Python should be live in no time!

Join a coding community

Building your own personal website may seem like a solo journey, but every good project is a group activity! To make the best possible website you can, you’re going to need to call in some reinforcements and use the buddy system. Join an online coding community, find some forums, and ask around when you need help. Whether you’re trying to iron out bugs, figure out where you’re going wrong, or stumped on ideas, an extra pair of eyes is a good idea. Talking to someone in the coding community or the community itself is a great way to get a helping hand and get your website off the ground!

So there you have it! Creating a website is easy when you break things down into simple and easy-to-follow steps! With this guide in mind, you’re ready to build and boot up your new website with Python like a pro! For starters, to create the perfect website, you first have to come up with the perfect website idea. To build your website, you’ll have to consult some pros, gather some intel, learn the basics, and put in the work! 

Finally, don’t be afraid to ask for a helping hand and reach out to your coding community to help you! Building your website may take some time, so be patient, good luck, and happy coding!

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Python From Scratch: Create a Dynamic Website

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How do you get started creating websites with Python? Well, you could do it all yourself and write a program that runs on a web server, accepting page requests and serving up responses in the form of HTML and other resources. However, that’s a lot of work, so why go to all the trouble when there are plenty of existing tools out there to do the job for you? These tools are called frameworks, and they're what we’ll use today to create our website.

Python Frameworks

There are quite a few Python web frameworks, but here are some of the best:

• Django : We're going to use this today. It has a huge set of features, but remains simple to use. The documentation is also excellent, so if you get stuck, you'll have the easiest time solving your problem with Django.
• Flask : Flask is a lightweight web application micro-framework designed to make it easy to get started due to the many extensions that make adding new functionality easy.
• FastAPI : FastAPI is a modern, high-performance web framework for building APIs with Python 3.6+. It is also easy to use and offers autocompletion and linting, making writing code faster than with other frameworks.
• Falcon : Falcon is a minimalist web framework for building fast web APIs and app back-ends. Falcon offers a clean design that uses HTTP and the REST architectural style for building APIs quickly.

A more comprehensive list can be found on the Python website if you're in need of additional options. Today we’re going to set Django up for development on a local machine, and then build a simple blog. We're also going to review the process of installing it on a remote web server.

Installing Django

We'll be performing most of our work today in the terminal. This should all work on Mac and Linux; however, if you're running Windows, the process is somewhat different. A familiarity with the command line isn't necessary if you're only writing Python, although if you're planning on using Django or running a dynamic website in general, it's worth learning.

Terminal Tutorials

Consider reviewing these tutorials to get yourself up and running with the Terminal:

• An intro to working in the terminal, which covers Git and GitHub too
• 10 tips to work faster in the terminal

Here are the commands you need to install Django. You'll need to install version Python 3 to get it running. First, you need to create a virtual environment with the venv module. From the Python docs:

The venv module provides support for creating lightweight “virtual environments” with their own site directories, optionally isolated from system site directories. Each virtual environment has its own Python binary (which matches the version of the binary that was used to create this environment) and can have its own independent set of installed Python packages in its site directories.

Create a project directory and a virtual environment inside the project directory.

Activate the virtual environment and create a new Django project.

The project directory looks like this:

What do each of these files do?

• __init__.py  tells Python that this folder is a Python package. We learned about these in the third lesson; it allows Python to import all of the scripts in the folder as modules.
• manage.py  isn’t actually part of your website; it’s a utility script that you run from the command line. It contains an array of functions for managing your site.
• settings.py contains your website's settings. Django doesn’t use XML files for configuration; everything is Python. This file is simply a number of variables that define the setting for your site.
• urls.py is the file that maps URLs to pages. For example, it could map yourwebsite.com/about to an About Us page.

However, none of these files on their own make a functional website. For that, we need apps. Apps are where you write the code that makes your website function, but before we take a look at them, we need to understand a bit about Django’s design principles.

First, Django is an MVC framework, which stands for Model View Controller. Django refers to itself as an MTV framework, which stands for Model Template View. It’s a slightly different approach than MVC, but fundamentally, they’re quite similar. Anyhow, MVC is an architectural pattern that provides a method for structuring your projects. It separates the code that’s used to process data from the code that manages the user interface.

Secondly, Django subscribes to the DRY, or Don’t Repeat Yourself philosophy, which means that you should never be writing code that performs a certain task more than once. For example, in our blog, if we wrote a feature that picked a random article from the archive and implemented this feature on multiple pages, we wouldn’t code it again each time it was needed. We’d code it once and then use it on each page.

So how does this relate to apps? Well, apps allow you to write your website in a DRY style. Each project, like the one we have here, can contain multiple apps. Conversely, each app can be part of multiple projects. Using the example from earlier, this means that if we made another site in the future that also needed a random page feature, we wouldn’t have to write it all over again. We could simply import the app from this project.

Because of this, it’s important that each app serves one distinct purpose. If you write all the functionality of your site within one app, and then you need to use part of it again later, you have to import it all. If you were making an eCommerce website, for example, you wouldn’t want to import all the blog features. However, if you make one app for the random feature and one app for the blog publishing system, you could pick and choose the bits that you require.

This also means that within the site, the code is well organized. If you want to alter a feature, you don’t have to search through one massive file; you can instead browse to the relevant app and change it without worrying about interfering with anything else.

The directory structure now looks like this:

Again, we’ve got an __init__.py file to make it a package, and three other files: models, tests, and views. We don’t need to worry about tests for now, but the other two are important. Models and Views are the M and V parts of MVC.

In models, we define our data structures.

If you’ve ever worked with PHP before, you might have used PhpMyAdmin to create your MySQL tables, and then written out your SQL queries manually in your PHP scripts. In Django, it’s much easier. We define all the data structures we need in this models file, then run a command and all the necessary databases are made for us.

When you wish to access that data, you go via these models by calling a method on them, instead of running raw queries. This is very helpful because Django can use several database programs. We’re going to use MySQL today because it’s the most powerful and is what most hosts provide, but if we needed to switch to a different database in the future, all of the code would still be valid! In other languages, if you wanted to switch to SQLite or something similar, you would need to rewrite the code that accesses your database.

In the views file, we write the code that actually generates the webpages. This ties all the other parts together. When a user types in a URL, it is sent by the urls script we saw earlier to the views script, which then gets relevant data from the models, processes it, and passes it into a template, which finally gets served up as the page the user sees. We’ll take a look at those templates shortly. They’re the easiest part—mostly HTML.

Add the blog app to the list of INSTALLED_APPS in the settings.py file.

For a blog, we’ll need a table of posts, with several fields for the title, body text, author, the time it was written, and so on. A real blog would have comments, but that’s beyond the scope of today's demo.

These models are just a description. We need to make an actual database from them. First, however, we need MySQL running on our system. On an actual web server, this wouldn’t be a problem, because they usually have it preinstalled. 

To install MySQL, type:

To check if the installation is successful, use:

This should return something like this:

Now, create a MySQL database for the Django project. Run MySQL with sudo mysql , and at the prompt, enter:

Start the Development Server

You can now run python3.8 manange.py runserver in a new tab to start the development server.

But first, we need to configure the database settings. Let's take a look at settings.py .

You need to change the database settings first.

Now run the server and go to 127.0.0.1:8000 in your web browser. You should see the default Django page.

Configure the Blog in Django

Now, let's turn our Django site into a blog. First, we need to use our models to create tables in the database by creating the following migration to effect changes made to the models.

Now, run the migration to create tables in the database.

Create a Superuser

Now, you can create a superuser to administer your Django app.

Set Up the App URLs

Let's set up the URLs for the app in the urls.py file. We'll include the blog URLs from a separate file.

Create the First View

Let's create our first view, which will render a simple HTML page. Open blog/views.py and add the following code.

Create the View Template

This index.html file doesn't exist yet. Django will automatically load templates from the template directory. Create a folder called templates in the blog app and, inside it, create a file called index.html . The folder directory should look like this:

Add the following code in index.html . 

Now, we'll create our blog URLs. Create the file urls.py in the blog directory and write the URL path for serving the index page.

Now, if you navigate to http://127.0.0.1:8000/home , you should see the following page updated with this new content.

Embed Data From the Database

The next step is to add dynamic content from the database. To accomplish this, Django has a templating language that allows you to embed variables with curly braces. Change the middle section of your page to look like this:

We can then pass in values to these variable placeholders from the views.py file by creating a dictionary of values.

Save and refresh, and you should see that you're now passing in content to a template from your views file. The final step is to get data from our database and pass that in instead. Luckily, we can do this without SQL queries by using Django's models. Go to blog/views.py and update the code to fetch data from the database.

Next, update the template to access this data.

Here, we can access all the data in our table in the views.py file, and then select only the first ten entries. We pass this data into the template, loop through the entries, and display the data with the HTML of our site.

Django's Admin System

The last thing we need to do today is review Django's administration system. This is a really powerful feature of Django that lets you manage your site without writing any more code, as you would have to if you were creating a site from scratch. To let the admin control your posts table, we'll register our Post model in Django admin and add some data in the database. Open blog/admin.py and add the following code.

You should now be able to add new blog entries by visiting http://127.0.0.1:8000/admin/blog/post/ .

That's all there is to do. You've just created a fully functioning, albeit simple, blog. To finish this lesson, we're going to look at installing Django on a web server.

Installing on a Web Server

There are two types of web hosting, and which one you have will affect whether you can use Django. If you have shared hosting, you're entirely at the mercy of your host.

Many cheap web hosts don’t support Python. While PHP is nearly guaranteed, support for other languages often isn’t. You'll have to check the control panel to determine if Python (and Django) are available. Obviously, the process is slightly different with every host. Almost all hosting runs on Apache, and we can use it to host Django, using the mod_wsgi or mod_python Apache modules.

Most web hosts run scripts in several languages using CGI. Django can run on FastCGI, and also, theoretically, on CGI, but this is not officially supported and would be far too slow for an actual production website. You’ll need to check if these are installed. They’re usually found under a heading, like “CGI and Scripting Language Support”.

If you have VPS hosting, or are lucky enough to have a dedicated server, your life is much easier. Usually these come with Python preinstalled, and from there, you only need to follow the same steps we went through to get a local copy of Django running. If you don't have Python, you can install it with a package manager. Your system may even come with Django.

Once you've installed Django on your server, upload the site you just made using any file transfer client. You can put the files anywhere, but keep them out of the public folder, or anyone will be able to see the source code of your site. I use /home for all my projects.

Next, create a MySQL database called django_blog  on your server. You'll have to create your account for the admin control panel again, but this is a one-time thing.

If you try to run this, you might receive an error, and that's because the settings for the server are different from those on your local computer. You may need to change the database password within settings.py , but depending on your server configuration, you may also encounter other issues. Google is your friend in these situations!

To run the server this time, the command is slightly different. You have to specify an IP address and port so that you can access the site over the internet.

If you visit your site in a web browser, on port 8000, you should see your site!

That's it for this lesson... and our series. I hope you've learned a number of useful skills over these past five lessons, and that you're ready to go on and learn even more Python in the future. If you like the look of Django and wish to continue increasing your knowledge of the framework, here are some additional tutorials on the subject:

As always, I’m happy to discuss any questions about this tutorial or Python in general within the comments. Thanks for reading.

This post has been updated with contributions from  Esther Vaati . Esther is a software developer and writer for Envato Tuts+.

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Python Web Development With Django

Python Django is a web framework that allows to quickly create efficient web pages. Django is also called batteries included framework because it provides built-in features such as Django Admin Interface, default database – SQLite3, etc. When you’re building a website, you always need a similar set of components: a way to handle user authentication (signing up, signing in, signing out), a management panel for your website, forms, a way to upload files, etc. Django gives you ready-made components to use.

Why Django Framework?

• Excellent documentation and high scalability.
• Used by Top MNCs and Companies, such as Instagram, Disqus, Spotify, Youtube, Bitbucket, Dropbox, etc. and the list is never-ending.
• Easiest Framework to learn, rapid development, and Batteries fully included. Django is a rapid web development framework that can be used to develop fully fleshed web applications in a short period of time.
• The last but not least reason to learn Django is Python, Python has a huge library and features such as Web Scraping, Machine Learning, Image Processing, Scientific Computing, etc. One can integrate all this with web applications and do lots and lots of advanced stuff.

Django Architecture

Django is based on MVT (Model-View-Template) architecture which has the following three parts – 

• Model: The model is going to act as the interface of your data. It is responsible for maintaining data. It is the logical data structure behind the entire application and is represented by a database (generally relational databases such as MySql, Postgres).
• View: The View is the user interface that you see in your browser when you render a website. It is represented by HTML/CSS/Javascript and Jinja files.
• Template: A template consists of static parts of the desired HTML output as well as some special syntax describing how dynamic content will be inserted. To check more, visit – Django Templates

For more information, refer to Django Project MVT Structure

Setting up the Virtual Environment

Most of the time when you’ll be working on some Django projects, you’ll find that each project may need a different version of Django. This problem may arise when you install Django in a global or default environment. To overcome this problem we will use virtual environments in Python. This enables us to create multiple different Django environments on a single computer. To create a virtual environment type the below command in the terminal.

Here the name suggests the name of the virtual environment. Let’s create our virtual environment with the name as venv only. So the command to create it will be – 

After running the above command you will see a folder named venv with the following sub-directories.

After creating the virtual environment let’s activate it. To activate it type the below command in the terminal.

In the above command ./ is used to tell the current working directory . 

Note: If you have your virtual environment set up in another location and your terminal opened up in another location, then provide the location to the venv folder i.e. our virtual environment folder.

After you run the above command you should see (venv) at the starting of every line of your terminal as shown in the below image.

Installing Django

We can install Django using the pip command. To install this type the below command in the terminal.

For more information, refer to Django Introduction and Installation

Starting the project

• To initiate a project of Django on Your PC, open Terminal and Enter the following command
• A New Folder with the name projectName will be created. To enter in the project using the terminal enter command
• Now let’s run the server and see everything is working fine or not. To run the server type the below command in the terminal.

After running the server go to http://127.0.0.1:8000/ and you’ll see something like this –

For more information, refer to How to Create a Basic Project using MVT in Django ?

Project Structure

A Django Project when initialized contains basic files by default such as manage.py, view.py, etc. A simple project structure is enough to create a single-page application. Here are the major files and their explanations. Inside the geeks_site folder ( project folder ) there will be the following files- 

Let’s discuss these files in detail – 

manage.py: This file is used to interact with your project via the command line(start the server, sync the database… etc). For getting the full list of commands that can be executed by manage.py type this code in the command window- 

• _init_.py: It is a python package. It is invoked when the package or a module in the package is imported. We usually use this to execute package initialization code, for example for the initialization of package-level data.
• settings.py: As the name indicates it contains all the website settings. In this file, we register any applications we create, the location of our static files, database configuration details, etc.
• urls.py: In this file, we store all links of the project and functions to call.
• wsgi.py: This file is used in deploying the project in WSGI. It is used to help your Django application communicate with the webserver.

Creating an app

Django is famous for its unique and fully managed app structure. For every functionality, an app can be created like a completely independent module. For example, if you are creating a Blog, Separate modules should be created for Comments, Posts, Login/Logout, etc. In Django, these modules are known as apps. There is a different app for each task. Benefits of using Django apps –

• Django apps are reusable i.e. a Django app can be used with multiple projects.
• We have loosely coupled i.e. almost independent components
• Multiple developers can work on different components
• Debugging and code organization are easy. Django has an excellent debugger tool.
• It has in-built features like admin pages etc, which reduces the effort of building the same from scratch

Django provides some pre-installed apps for users. To see pre-installed apps, navigate to projectName –> projectName –> settings.py. In your settings.py file, you will find INSTALLED_APPS. Apps listed in INSTALLED_APPS are provided by Django for the developer’s comfort.

We can also create our own custom apps. To create a basic app in your Django project you need to go to the directory containing manage.py and from there enter the command :

Now let’s create an app called gfg_site_app, so the command to create the app would be – 

Now you can see your directory structure as under :

To consider the app in your project you need to specify your project name in the INSTALLED_APPS list as follows in settings.py:

For more information, refer to How to Create an App in Django ?

Django Views

A view function is a Python function that takes a Web request and returns a Web response. This response can be the HTML contents of a Web page, or a redirect, or a 404 error, or an XML document, or an image, anything that a web browser can display. Django views are part of the user interface — they usually render the HTML/CSS/Javascript in your Template files into what you see in your browser when you render a web page.

Example: Creating View Function

Let’s step through this code one line at a time:

• First, we import the class HttpResponse from the django.http module, along with Python’s datetime library.
• Next, we define a function called geeks_view. This is the view function. Each view function takes an HttpRequest object as its first parameter, which is typically named request.
• The view returns an HttpResponse object that contains the generated response. Each view function is responsible for returning an HttpResponse object.

Note: For more info on HttpRequest and HttpResponse visit – Django Request and Response cycle – HttpRequest and HttpResponse Objects

The above Function will render the text Welcome to GeeksforGeeks as h1 on the page. Now the question that may be arising is at what URL this function will be called and how will we handle such URLs. Don’t worry we will handle URL in the section but in this section let us continue with the Django views only.

Types of Views

Django views are divided into two major categories:-

Function-Based Views

Class-based views.

Function-based views are writer using a function in python which receives as an argument HttpRequest object and returns an HttpResponse Object. Function-based views are generally divided into 4 basic strategies, i.e., CRUD (Create, Retrieve, Update, Delete). CRUD is the base of any framework one is using for development. 

Refer to the below articles to get more information on Function-Based views – 

• Django CRUD (Create, Retrieve, Update, Delete) Function Based Views
• Create View
• Detail View
• Update View
• Delete View

Class-based views provide an alternative way to implement views as Python objects instead of functions. They do not replace function-based views, but have certain differences and advantages when compared to function-based views:

• Organization of code related to specific HTTP methods (GET, POST, etc.) can be addressed by separate methods instead of conditional branching.
• Object-oriented techniques such as mixins (multiple inheritances) can be used to factor code into reusable components.

Refer to the below articles to get more information on Class-Based views – 

• Class Based Generic Views Django (Create, Retrieve, Update, Delete)

Django URL Patterns

In Django, each view needs to be mapped to a corresponding URL pattern . This is done via a Python module called URLConf(URL configuration). Every URLConf module must contain a variable urlpatterns which is a set of URL patterns to be matched against the requested URL. These patterns will be checked in sequence until the first match is found. Then the view corresponding to the first match is invoked. If no URL pattern matches, Django invokes an appropriate error handling view.

Now if we see our project we have created an app called gfg_site, the Python module to be used as URLConf is the value of ROOT_URLCONF in gfg_site/settings.py. By default this is set to ‘gfg_site.urls’. Every URLConf module must contain a variable urlpatterns which is a set of URL patterns to be matched against the requested URL. These patterns will be checked in sequence, until the first match is found. Then the view corresponding to the first match is invoked. If no URL pattern matches, Django invokes an appropriate error handling view.

URL patterns

Here’s a sample code for gfg_site/urls.py:

Including other URLConf modules

It is a good practice to have a URLConf module for every app in Django. This module needs to be included in the root URLConf module as follows:

Now if head towards http://127.0.0.1:8000/ then our site will be – 

In the above example, include statement will look into the URLpatterns list in the gfg_site_app/urls.py And then it will look into all the paths defined in the url.py file and will call the respective views function.

Till now we have seen how to show HTML on our website. Now let’s suppose we want to use some kind of relational database that, let’s say SQLite for our site and we want to create a table in this database and want to link this database to our website. Don’t worry we will discuss this in the next section.

• Django Models

To tackle the above-said problem Django provides something called Django Models.

 A Django model is the built-in feature that Django uses to create tables, their fields, and various constraints. In short, Django Models is the SQL of Database one uses with Django. SQL (Structured Query Language) is complex and involves a lot of different queries for creating, deleting, updating, or any other stuff related to the database. Django models simplify the tasks and organize tables into models. Generally, each model maps to a single database table.

This section revolves around how one can use Django models to store data in the database conveniently. Moreover, we can use the admin panel of Django to create, update, delete or retrieve fields of a model and various similar operations. Django models provide simplicity, consistency, version control, and advanced metadata handling. Basics of a model include –

• Each model is a Python class that subclasses django.db.models.Model.
• Each attribute of the model represents a database field.
• With all of this, Django gives you an automatically-generated database-access API; see Making queries .

Whenever we create a Model, Delete a Model, or update anything in any of models.py of our project. We need to run two commands makemigrations and migrate. makemigrations basically generates the SQL commands for preinstalled apps (which can be viewed in installed apps in settings.py) and your newly created app’s model which you add in installed apps whereas migrate executes those SQL commands in the database file.

So when we run,

SQL Query to create above Model as a Table is created and

creates the table in the database.

Now we have created a model we can perform various operations such as creating a Row for the table or in terms of Django Creating an instance of Model. To know more visit – Django Basic App Model – Makemigrations and Migrate .

Now let’s see how to add data to our newly created SQLite table.

Django CRUD – Inserting, Updating, and Deleting Data

Django lets us interact with its database models, i.e. add, delete, modify and query objects, using a database-abstraction API called ORM(Object Relational Mapper). We can access the Django ORM by running the following command inside our project directory.

Adding objects

To create an object of model Album and save it into the database, we need to write the following command:

Retrieving objects

To retrieve all the objects of a model, we write the following command:

Modifying existing objects

We can modify an existing object as follows:

Deleting objects

To delete a single object, we need to write the following commands:

Refer to the below articles to get more information about Django Models – 

• ORM – Inserting, Updating & Deleting Data
• Basic App Model – Makemigrations and Migrate
• model data types and fields list
• Add the slug field inside Django Model
• Intermediate fields in Django
• Uploading images in Django
• Change Object Display Name using __str__ function – Django Models
• Built-in Field Validations – Django Models
• Custom Field Validations in Django Models
• How to use Django Field Choices ?
• Overriding the save method – Django Models

Uploading Images in Django

When defining the models we used the ImageField for uploading images and we wrote the upload_to parameter as upload_to=”images/%Y/%m/%d”) because this will create a directory data structure of the format image>>year>>month>>date so that tracking images may become easier. 

Before uploading the image we need to write the below code in the setting.py file.

• MEDIA_ROOT is for server path to store files in the computer.
• MEDIA_URL is the reference URL for browser to access the files over Http

In the urls.py we should edit the configuration like this

Let’s see how to upload data into the model using Django Admin Interface.

Render a model in Django Admin Interface

To render a model in Django admin , we need to modify app/admin.py. Go to admin.py in geeks_site_app and enter the following code. Import the corresponding model from models.py and register it to the admin interface.

Now let’s create a superuser for our project that can have access to the admin area of our site. To create a super user type the below command – 

Now go to http://127.0.0.1:8000/admin on the browser to access the admin interface panel. 

Give the username and password created for superuser and then the admin dashboard will open and there we will be able to see our Geeks models that we just created.

Note: For more information refer to Render Model in Django Admin Interface .

Now let’s see how to enter data using the admin dashboard. Now clicking on the Geeks Model we will see something like this – 

We can click on the Add Geeks Model button on the right top corner and then we will be able to see the fields for adding data. See the below image – 

After adding the required data and the image field we will see something like this on our admin dashboard – 

You can also see the media folder in your code editor –

Connecting Django to different Database

Django comes built-in with the SQLite database. We can also see this in the DATABASES dictionary in our settings.py file.

If you want to change this to another database you can change the above dictionary. Let’s suppose we want to change this database to PostgreSQL. Assuming the required dependencies are installed and the PostgreSQL is set up then the DATABASES dictionary will look like – 

Refer to the below articles to get more information about connecting Django to different databases – 

• How to use PostgreSQL Database in Django?
• Connect Django Project to MongoDB using Django

Django Templates

Templates are the third and most important part of Django’s MVT Structure. A template in Django is basically written in HTML, CSS, and Javascript in a .html file. Django framework efficiently handles and generates dynamically HTML web pages that are visible to the end-user. Django mainly functions with a backend so, in order to provide a frontend and provide a layout to our website, we use templates. There are two methods of adding the template to our website depending on our needs.

• We can use a single template directory which will be spread over the entire project.
• For each app of our project, we can create a different template directory.

For our current project, we will create a single template directory that will be spread over the entire project for simplicity. App-level templates are generally used in big projects or in case we want to provide a different layout to each component of our webpage.

Configuration

Django Templates can be configured in app_name/settings.py,  

Now let’s create a template directory and add that directory in the above configuration. After creating the templates folder our directory should look like this – 

Let’s add the location of this directory in our templates dictionary.

After adding the location of the template directory we will create a simple HTML file and name it as index.html and then we will render this file from our view function.

To render this HTML on our site we need to use the render function from the django.shortcuts. Below is the updated view function.

If we head to our website we will see the HTML data on our site as –

The Django Templates not only show static data but also the data from different databases connected to the application through a context dictionary. Let’s see this with an example. We will try to render the content of our database dynamically to our website.

First, let’s update our views.py file. In this file we will get our data from our database and then pass this database as a dictionary to our HTML file.

Our website now looks like this – 

Now if we add more data to our site then that data will also be shown to our site without making any changes to our HTML or views.py. Let’s add some data and then see if it works or not.

Django template language

This is one of the most important facilities provided by Django Templates. A Django template is a text document or a Python string marked-up using the Django template language. Some constructs are recognized and interpreted by the template engine. The main ones are variables and tags. As we used for the loop in the above example, we used it as a tag. similarly, we can use various other conditions such as if, else, if-else, empty, etc. The main characteristics of Django Template language are Variables, Tags, Filters, and Comments. 

Variables output a value from the context, which is a dict-like object mapping keys to values. The context object we sent from the view can be accessed in the template using variables of Django Template. 

Tags provide arbitrary logic in the rendering process. For example, a tag can output content, serve as a control structure e.g. an “if” statement or a “for” loop, grab content from a database, or even enable access to other template tags.

Django Template Engine provides filters that are used to transform the values of variables and tag arguments. We have already discussed major Django Template Tags. Tags can’t modify the value of a variable whereas filters can be used for incrementing the value of a variable or modifying it to one’s own need.

Template ignores everything between {% comment %} and {% end comment %}. An optional note may be inserted in the first tag. For example, this is useful when commenting out code for documenting why the code was disabled.

• Template Inheritance

The most powerful and thus the most complex part of Django’s template engine is template inheritance. Template inheritance allows you to build a base “skeleton” template that contains all the common elements of your site and defines blocks that child templates can override. extends tag is used for the inheritance of templates in Django. One needs to repeat the same code again and again. Using extends we can inherit templates as well as variables.

Example: Assume the following directory structure:

In template.html, the following paths would be valid: 

Refer to the below articles to get more information about Django Templates – 

• Boolean Operators
• if – Django Templates
• Django Forms

When one creates a Form class, the most important part is defining the fields of the form. Each field has custom validation logic, along with a few other hooks. Forms are basically used for taking input from the user in some manner and using that information for logical operations on databases. For example, Registering a user by taking input as his name, email, password, etc. Django maps the fields defined in Django forms into HTML input fields. Django handles three distinct parts of the work involved in forms:

• preparing and restructuring data to make it ready for rendering
• creating HTML forms for the data
• receiving and processing submitted forms and data from the client

Note: All types of work done by Django forms can be done with advanced HTML stuff, but Django makes it easier and efficient especially the validation part. Once you get hold of Django forms you will just forget about HTML forms.

Creating Django Forms

Creating a form in Django is completely similar to creating a model, one needs to specify what fields would exist in the form and of what type. For example, to input, a registration form one might need First Name (CharField), Roll Number (IntegerField), and so on. 

To create a Django form, first create a forms.py inside the app folder.

Let’s create a different view function for handling forms and we will map this view function to a different URL. In the above created views.py file import the GeeksForm from the forms.py and create the below function.

Map this function to a different URL let’s say we will map this function to the http://127.0.0.1:8000/add/. To do this go to urls.py file of the app and another path for above URL.

Django form fields have several built-in methods to ease the work of the developer but sometimes one needs to implement things manually for customizing User Interface(UI). A form comes with 3 in-built methods that can be used to render Django form fields.  

• {{ form.as_table }} will render them as table cells wrapped in <tr> tags
• {{ form.as_p }} will render them wrapped in <p> tags
• {{ form.as_ul }} will render them wrapped in <li> tags

Now let’s make the form.html for rendering our form.

After doing this save all the files and go to http://127.0.0.1:8000/add/ to see the form we created. It should look like this – 

We can also see that our form is validated automatically. We cannot submit an empty form.

Create Django Form from Models

Django ModelForm is a class that is used to directly convert a model into a Django form. To create a form directly for our model, dive into forms.py and Enter the following –

Now visit http://127.0.0.1:8000/add/ you will see the same form as above but with less code. 

Both the Django forms we created are similar but the only difference is the save() method. Every ModelForm has a save() method which saves the database object from the data bound to the form. In simpler words we will be able to save the data to our database using the ModelForm only. For this change the view method as follow – 

Note: Add enctype= multipart/form-data to our <form> element in our template tag. If we don’t have this then our request.FILES will always be empty and our form will not validate.

 Let’s add some data with our form and see if its get saved in our database or not.

After hitting submit the form gets saved automatically to database. We can verify it from the above GIF.

Refer to the below articles to get more information about Django Forms – 

• How to create a form using Django Forms ?
• Render HTML Forms (GET & POST) in Django
• Django Form Fields
• form field custom widgets
• Initial form data – Django Forms
• ModelForm – Create form from Models
• Render Form Fields Manually
• Django Formsets
• Django ModelFormSets

More on Django

• Handling Ajax request in Django
• User groups with Custom permissions in Django
• Django Admin Interface
• Extending and customizing django-allauth
• Django – Dealing with warnings
• Sessions framework using django
• Django Sign Up and login with confirmation Email
• How to add Pagination in Django Project?
• How to Deploy Django project on PythonAnywhere?

Django Projects

• Google authentication and Fetching mails from scratch
• ToDo webapp using Django
• Django News App
• Weather app using Django
• Django project to create a Comments System
• Integrating Facebook Comments Plugin in Django Project
• Translator App Project using Django
• Creating a Basic E-commerce Website for Displaying Products

Python Web Development With Django – FAQs

Is python django good for web development.

Yes, Django is highly regarded for web development due to its robustness, scalability, and extensive features. It follows the “batteries-included” philosophy, providing built-in tools for common web development tasks, such as authentication, URL routing, and ORM (Object-Relational Mapping). Django is known for its security features, such as protection against SQL injection, cross-site scripting, and cross-site request forgery, making it a popular choice for building secure and maintainable web applications.

What are the core components of a Django application?

Models : Define the data structure and database schema. They represent the entities in your application and handle database interactions. Views : Handle the business logic and process user requests. They fetch data from models and pass it to templates. Templates : Define the presentation layer. They are used to render HTML content and display data to users. URLs : Map URL patterns to views. This helps in routing user requests to the appropriate view functions or classes. Admin Interface : Provides a built-in interface to manage application data. It can be customized for specific needs.

How to set up a Django project?

1. Install Django : Use pip to install Django. pip install django 2. Create a Project : Use the Django command-line tool to start a new project. django-admin startproject myproject 3. Navigate to the Project Directory : Change to the project directory. cd myproject 4. Run the Development Server : Start the server to see your project in action. python manage.py runserver 5. Create an App : Add an application to your project. python manage.py startapp myapp 6. Configure Settings : Add your app to the INSTALLED_APPS list in settings.py .

What are Django models and how are they used?

Django models define the structure of your database tables. They are Python classes that subclass django.db.models.Model . Each model class represents a table in the database, and its attributes represent the table columns. Example: from django.db import models class Person(models.Model): name = models.CharField(max_length=100) age = models.IntegerField() email = models.EmailField() In this example: name , age , and email are fields in the Person table. Django automatically generates the necessary SQL statements to create and manage this table.

How to handle user authentication in Django?

Django provides built-in support for user authentication, including user registration, login, and logout. 1. Use Django’s Authentication Views : Import and use built-in views for login and logout. from django.contrib.auth import views as auth_views # URL patterns for authentication urlpatterns = [ path('login/', auth_views.LoginView.as_view(), name='login'), path('logout/', auth_views.LogoutView.as_view(), name='logout'), ] 2. Create a User Model : Use Django’s built-in User model or extend it to fit your needs. from django.contrib.auth.models import User user = User.objects.create_user('myusername', '[email protected]', 'mypassword') 3. Use Authentication Forms : Utilize Django forms for user authentication. from django import forms from django.contrib.auth.forms import UserCreationForm class CustomUserCreationForm(UserCreationForm): class Meta: model = User fields = ['username', 'email'] 4. Protect Views : Use decorators like @login_required to restrict access to views. from django.contrib.auth.decorators import login_required @login_required def my_view(request): # view code Django’s built-in authentication framework simplifies managing user accounts and securing web applications.

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18 Famous Websites Built with Python in 2024

By Ramkumar

Mar 25, 2024 6 Min Read 12661 Views

(Last Updated)

While binge-watching the latest Netflix series or replying to your Instagram DMs, have you ever wondered about the technology stack built on these awesome websites? If you have guessed Python, you are absolutely right!

Many of today’s most successful software companies use Python for their website’s backend. Python programming language is a powerful and widely used computer language. Web development, data science, Machine Learning, Deep Learning, Big Data, and other fields can benefit.

Guido van Rossum designed Python in 1991. It is a popular programming language among both novice and experienced programmers. Python programmers adore the language’s readability and straightforward syntax. It can also be used in game development, social networking applications, and data visualization.

Table of contents

• 18 Popular Websites Built with Python
• Facebook (Meta)
• Survey Monkey
• Is it possible to create a website with Python?
• What well-known websites make use of Python?
• How does Netflix use Python?
• Is Python used by Amazon?
• In Website Development, which Python framework is most commonly used?

Python’s popularity, in and of itself, is proof that it is well worth adding to your development toolkit. On the other hand, which major tech giants employ Python for web development? Let’s have a look at the top 18 well-known websites that were built with Python.

If you are aspiring to explore Python through a self-paced course, try   GUVI’s Python self-paced certification course with IIT Certification.

Netflix is the world’s most popular internet television network, with over 33 million subscribers in 40 countries watching over one billion hours of TV shows and movies each month, including Netflix’s original series.

Netflix developers use Python because of its comprehensive standard library, short and clear yet expressive syntax, big developer community, and abundance of third-party libraries.

Netflix is the perfect example of a firm that has kept up with technological advancements. Netflix used to rent DVDs by mail, but it swiftly hopped on the digital bandwagon and grew to become one of the world’s most popular streaming services.

Google is the most extensively used search engine on the planet. It is another primary Python-based website. Developers can switch traffic and manage search requirements for each level using the language and its supporting infrastructure.

Using Python, Google is a web application that operates smoothly and without errors during development. Python is now an official language at Google, with many applications ranging from system development and administration to code evaluation.

Python is also utilized in many of Google’s cutting-edge machine learning and AI projects, which is becoming increasingly crucial in big tech as the need for data analytics grows.

YouTube , a Google subsidiary, was built primarily in Python. The world’s largest video streaming site, which has been distracting us from existential sorrow with funny videos since 2005, is a prime real-world example of Python in web development.

Python powers the site in various ways, including view video, administrator video, data access, and website control templates, to name a few. It has various features and libraries that make the user experience more dynamic.

It has been designed to make the process of uploading, downloading, and sharing videos as simple as possible. Surprisingly, it didn’t start that way. The initial codebase for YouTube was PHP. However, after a few months, the creators decided to switch to Python because of the latter’s superior speed, performance, and flexibility.

4. Instagram

The backend of Instagram , the world’s most popular online photo-sharing program, is written in Python. Instagram presently has the world’s largest Django web framework deployment, fully built-in Python.

It’s user-friendly, straightforward, tidy, and logical. Instagram’s user interface is made possible through Python web programming. It’s also great for building a team of developers because the platform’s scalability isn’t an issue.

Python is used to create APIs, search mechanisms, and other features. That’s something I’m sure you didn’t know!

Python was used to create the ride-hailing service, making about 15 million journeys every day. Python, Node.js, Go, and Java is their major tech stack. Python frameworks such as Django and Flask are also widely utilized to create various features of Uber .

While Python isn’t Uber’s only programming language (it makes up approximately 35% of their tech stack), it is the backbone of its back-end operations. This includes data analytics features for forecasting supply and demand, user surges, and arrival times—all of which are highly mathematical operations that Python excels at.

6. Pinterest

Pinterest , a virtual pinboard and social bookmarking platform has been on our screens for over a decade. Users can create image collections for everything from dogs to wedding gowns to origami art. Python was chosen as the company’s first programming language because it allowed them to scale and construct reliable apps.

The organization uses a variety of third-party Python modules for communication and configuration management. The site’s persistent dependence on machine learning, on the other hand, strongly suggests that Python is still a key component of its software stack.

Dropbox is a place where you can save all your images, documents, videos, and data. Also, one of the world’s foremost providers of cloud storage solutions, Dropbox, employs Python web programming in its tech stack.

It uses the programming language to host files and lets users interface with various application components in real-time. It is still at the forefront of the industry today, and Python is responsible for most of its success.

Dropbox has used Python on both the server and client sides since its inception. Dropbox chose the language because of its cross-platform capabilities and readability, allowing them to implement, test quickly, and deploy new product features.

The organization is so committed to Python that it hired Guido van Rossum, the language developer, from 2012 to 2019.

Quora is probably the most well-known Q&A site on the internet, and it’s best recognized for its intriguing questions and occasionally dubious solutions. It is another site that heavily relies on Python.

Because Quora is such a dynamic site, Python has allowed them to construct and test new functionality with fewer lines of code, allowing them to speed up the creation of new features.

Quora’s backend uses a variety of Python packages, including Tornado and PyPy, among others. The codebase has changed dramatically in the last five years. Today, the Python application serves as a foundation for Quora’s whole development.

Spotify allows you to listen to select music or albums right away, with almost no buffering. Since its inception in 2008, the app has grown to over 75 million paid customers and employs Python significantly in its software. Python’s simplicity and readability were required because the company wanted to focus on speed. The organization uses Python async frameworks for IO-bound services. Spotify’s web backbone, which consists of multiple interconnected services, heavily relies on Python. Around 80% of these, according to the business, are written in Python. Luigi, a Spotify-developed data analytics tool, which drives Spotify’s Radio and Discovers features and recommendations, was built to swiftly prototype complex data processes. Luigi is also written in Python.

Reddit is a social news aggregation platform usually referred to as the internet’s front page. The server-side of Reddit is written in Python. The company admires the programming language because of its vast libraries. Even new developers may get started coding on the project because the code is exceptionally expressive, understandable, and straight. When every time you send a request to Reddit via your browser, the web server utilizes Python to translate it. The relevant HTML is subsequently sent back, which you see in your browser. You can think of Python as the link between your server request and what appears on your screen in this situation.

11. Facebook (Meta)

Facebook (now renamed Meta), the world’s most popular social networking site, has kept us connected to our friends and stalking exes since 2004. Unless you’ve been living under a rock, you’re aware that the site is involved in various activities, from messaging to live-streaming. As a result, its products and services are available in multiple languages. On the other hand, Python plays a significant role, accounting for at least 21% of their codebase.

Amazon also uses Python. Thanks to Amazon, we can get almost anything delivered to our doorsteps at the touch of a button, and we don’t have to worry about how it gets there. Amazon employees, in particular, have created Python machine learning algorithms that work with the company’s Hadoop data storage system. Amazon’s well-known recommendation engine, which urges us to buy new things, is powered by this powerful analytics stack. Python assists Amazon is recommending even more items for us to believe by analyzing user search and purchase habits. Isn’t it cool?

Yahoo! , Google’s main competitor, uses the Python programming language in various projects. Yahoo! Maps makes use of the language and its frameworks. Although Yahoo Maps is losing ground to competing map service providers, it still has several valuable features. Apart from that, Python is used in several Yahoo interface designs. The language has provided platform search capabilities akin to Google.

14. Instacart

Instacart promises one-hour grocery delivery from your favorite merchants. It quickly becomes one of the most popular grocery delivery applications, with over 500,000 users and $2 million in sales. They make the estimates using Python or R code, which reads all of the data, calculates how many shoppers we’ll need in the next week or two, and then writes those values. In North America, the grocery delivery and pick-up service now service 5,500 cities. Python is used to estimate, validate, and read data from many sources. They can use Machine Learning methods to find demand and supply approximations with the language’s help. Instacart heavily uses the vocabulary in its development.

Disqus , a well-known commenting plugin, moderates incoming content and assists in comment control. This global comment hosting service allows users to leave comments on thousands of blogs and websites worldwide. It has Django-powered social media integrations, statistics, and tools for controlling one’s online profile. For security features and frequent security fixes, it uses Python and its framework Django. The plugin supports multiple sign-ins and notifications to keep users informed. Python programming plays a significant role in this.

16. Survey Monkey

Survey Monkey may be the first name that comes to mind when conducting online surveys. Ryan Finley’s cloud-based Software as a Service company, which he launched in 1999, was similarly built entirely in Python. Python has made it simple to use and incredibly interactive. It gives the site a more interactive and user-friendly feel. It can handle a lot of traffic, and Python helps with scaling. Python is used by Survey Monkey, one of the most valuable research tools, because of its extensibility and readability.

Bitly , a prominent link management software founded by Peter Stern in 2008, shortens almost 600 million connections every year. Python is also responsible for the creation of this website. It maintains over 600 million URLs per year and is the world’s most popular URL shortener. Because of Python’s popularity as a user-friendly programming language for constructing websites, aspiring programmers and web developers worldwide are taking advantage of web development training to master this user-friendly programming language.

Lyft is the fastest-growing ride-hailing service in the United States, with more than 200 locations and 14 million monthly rides. Lyft is one of several company logos on-hire bikes, scooters, and cars worldwide. Python is a favorite of Lyft’s. NumPy, Pandas, and PuLP are commonly used by services to serve requests via Flask, Gevent, and Gunicorn. To combat fraud, they use SciPy, and to provision hosts, they use Salt. They also operate their web server with Flask, serving data with scikit-learn, and manipulating using Pandas. In a nutshell, they use Python extensively!

Python is a popular choice for web development because of its basic capabilities. To begin with, Python is a free, open-source, and widely used programming language. But, more crucially, it is extremely adaptable. Python enables programmers to design websites using a variety of programming techniques. It can be used for both object-oriented and functional programming, for example. It also can type dynamically. This is advantageous for web development since it needs less coding and facilitates debugging.

That’s all there is to it! Python, as we’ve seen, is a powerful and widely used programming language with a wide range of applications, including web development. If you’re new to coding, we hope our list of top 18 Python website examples has demonstrated how beneficial adding this string to your bow is.

Do we hope this article has inspired you to take the plunge with learning Python for web development? Let us know your thoughts in the comment section below!

1. Is it possible to create a website with Python?

Yes, Python can be used to create a website, and it can be done pretty quickly. Even though Python is a general-purpose programming language, it naturally extends to web development.

2. What well-known websites make use of Python?

Most popular websites, such as Google, Netflix, Instagram, and YouTube, employ Python programming language in their backend.

3. How does Netflix use Python?

According to developers, python is utilized throughout the whole content lifecycle at Netflix, from security tools to recommendation algorithms and its proprietary content delivery network (CDN) Open Connect. Python-based apps manage the majority of Netflix’s network equipment.

4. Is Python used by Amazon?

Yes. Amazon, one of the most well-known players in the online marketplace, employs Python in a number of aspects of its platform. Implemented in Amazon’s product and deal recommendation system, which analyses and recommends things to customers using Artificial Intelligence and Machine Learning.

5. In Website Development, which Python framework is most commonly used?

Django. It is the most popular full-stack Python framework, ranking among the top five web frameworks in 2020. It is open-source and free to use, with many functions that make web building much more accessible.

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How to Build Websites with Python

This python flask tutorial is designed to teach you how to build websites quickly and easily with Flask. Flask is a micro web framework that makes it very fast and easy to build websites with python.

What You’ll Learn

This series is packed full of valuable information. You will learn and understand the following after this tutorial:

• Create basic websites with Flask
• Use HTML Templates
• Integrate with Bootstrap and other frameworks
• Detect button presses and events
• Validate forms
• Connect Databases
• HTTP Methods (GET, POST, DELETE etc.)

Prerequisites

This is NOT a beginner tutorial and I will not be teaching python syntax

• Experience With Python 3 Syntax

How To Create A Website Using Python in 2024

Published: Jan 29, 2024, 6:47pm

Reviewed By

In this digital era, websites are the crucial base of businesses. They are the lifeline of businesses, no doubt. Without a website or any other form of online existence, the survival and growth of the business is limited. There are a total of 1.13 billion websites on the internet. All of those websites are primarily made of HTML, CSS, and JavaScript. 

Now, Python is a fairly simple language that emphasizes natural language. It is easy to learn and free to use. It has been seen that around the world, web developers have started using it to create websites. Read this guide on how to create a website using Python.

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How To Set Up Web Hosting for Python?

Before starting to build a website, we have to set up a web hosting service. Here’s how to set up a web hosting service for Python.

Though all web hosting services support Python’s code, still, it’s better to look for the one that specializes in that. Taking the time to find the web hosting service that focuses on Python code as well, saves time and effort for the user. You basically ensure a trouble-free experience with this. 

By choosing the one with Python support, you make sure that it is run with the updated systems for the latest versions of Python. Below are some of the best web hosting services that support Python:

• Bluehost  – ( Bluehost Review )
• Hostinger  – ( Hostinger Review )
• DreamHost – ( DreamHost Review )
• A2 Hosting – ( A2 Hosting Review )

Note: Make sure to go through our detailed reviews for a better understanding of these web hosting services. Go through them thoroughly, and decide which is the best for you. After purchasing the web hosting service, or its plans, you are all set to start building a website. 

Steps To Create a Website Using Python

After purchasing the web hosting service, below are the steps you need to follow to create a website using Python.

• Mastering HTML, CSS, and JavaScript 

It doesn’t matter if you are an experienced web developer or a fresher. To build a website, you need to have a strong grasp of HTML, CSS, and Javascript. At least, you should be familiar with HTML and CSS, without these, you won’t be able to build the front end of the website (that part that users usually see). As HTML and CSS are the foundation of web development, hence, a basic understanding of these is a must. 

• Understanding the document object model (DOM)

After mastering the HTML, CSS, and Javascript, make sure to thoroughly study the document object model (DOM). This will help you create complex and dynamic web pages. Also, learning jQuery, a JavaScript library that facilitates dealing with DOM is highly beneficial.

• Applying backend development with Python

After learning the above-mentioned languages and models, you should apply Python for the backend. Try learning the Python syntax before moving on to any frameworks. After learning about Python, its syntax, and its frameworks, it will be easy for you to implement it. 

• Learn about Frameworks and selection 

Now, it’s time to learn and choose the best framework according to you. Also, you need to select the backend database that will be used to build your Python website.

Best Frameworks of Python

After learning everything about the languages and models, it’s time to learn FrameWorks. Now there are a few popular frameworks that make the whole process of creating a website using Python easy. These are as follows:

• Django: Django is one of the most popular Python frameworks as it uses the “Don’t Repeat Yourself” principle, allowing you to reuse code. It’s a free and open-source Python framework, majorly used for the development of high-quality web applications. This high-level framework offers a massive library collection and emphasizes effectiveness, less coding, and component reusability.
• Flask: Flask is a microframework that is mainly built for open-ended applications. It is being used in large corporations such as LinkedIn and Pinterest. Flask’s main goal is to assist in the development of a robust web application base, Google App Engine support, and built-in unit testing. So, for small or tiny projects, Flask is best suited.
• Web2Py: Web2Py is a full-stack open-source framework that is mainly used for creating dynamic web content. It offers a code editor, debugger, and deployment tools. It is also a popular framework for developing websites using Python.
• AIOHTTP: AIOHTTP is another very popular asynchronous framework with both server and client-side functions. This makes it very useful for a wide variety of websites. 

There are some other frameworks as well.  But, these were some of the popular frameworks. 

Benefits of Using Python for Building a Website?

As Python is among the most popular general-purpose programming languages. Here are some benefits that you should consider while building a website using Python. 

• Simplicity – Python’s syntax is easy to learn and remember, as It is full of English words and phrases. It is also less prone to error and easier to maintain, making it excellent for beginners. This saves a lot of time for the developer, resulting in easier implementation, debugging, or making changes. 
• Flexibility – Python is also a very flexible language that can be used for a variety of tasks such as web development, data analysis, scientific computing, artificial intelligence, and more. It’s even an open-source language. This makes it highly scalable, and you can integrate it with tons of frameworks.  
• Frameworks – Python has tons of Frameworks like Django and Flask, they provide powerful and efficient tools for building web applications. This is a huge plus for Python. It basically allows the developer to develop websites and complex web applications very easily.

Drawbacks of Using Python for Building a Website

Here are some of the disadvantages of using Python for building a website.

• Speed limitations – Python has some speed limitations due to its interpreted script language. Meaning, as it uses different methods it uses to translate code, it takes longer to execute than its counterparts such as C/C++ or Java. Thus, if you think it is fast. It is not. 
• Limited use – As Python is not a popular language for web development, the language has a limited overall usage, globally. 

Resources to Learn Python

You can learn Python from multiple resources. From college course books to online courses. Below are the online resources. 

• Python.org  
• Learnpython.org

Frequently Asked Questions (FAQs)

Is python hard to learn.

No, Python is fairly easy to learn because of its usage of English words and phrases. Its syntax is easy to learn and remember. It is one of the most simple languages to learn.

How much time does it take to learn Python?

Usually, it takes two months to six months to completely master the Python language. Rest, it depends on a person’s will and learning capacity.

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Aashika is the India Editor for Forbes Advisor. Her 15-year business and finance journalism stint has led her to report, write, edit and lead teams covering public investing, private investing and personal investing both in India and overseas. She has previously worked at CNBC-TV18, Thomson Reuters, The Economic Times and Entrepreneur.

5 Best Open-Source Website Builders in 2024 (Top New Picks)

Pricing: $9 per month Standout Features: Open-Source Flexibility, Limitless Customizability, Advanced Content Management

Pricing: $43.56 per month Standout Features: Highly Scalable, Integration Capabilities, Robust Content Management

Pricing: $86 per month Standout Features: User-Friendly Interface, Extensive Template Library, SEO Optimization

Are you struggling with a budget when building a website for your small business? Check out our list of the best open-source website builders in 2024.

By opting for open-source solutions, one can save on licensing fees and invest the saved funds in other critical areas of the project. Open-source builders offer free access to their software with affordable hosted solutions, which is great for small businesses on a budget. This guide will help you find their special features and pick the best one for your business. Let’s get started.

• 1 Understanding Open-Source Website Builders
• 2 What to Look for in Open-Source Website Builders
• 3.1 1. WordPress
• 3.2 2. Umbraco
• 3.3 3. T3Planet
• 3.4 4. Webstudio
• 3.5 5. GrapesJS
• 4.1 Feature Comparison of the Best Open-Source Website Builders
• 4.2 Best Open-Source Website Builders: Price Comparison
• 5 Frequently Asked Questions (FAQs)

Understanding Open-Source Website Builders

Open-source website builders are web development tools that help you create websites. The software is free, and its code is open for everyone to see and change. This means you can look at how they work, make changes, and share your version with others. Many offer hosted solutions for their platform to handle your domain and hosting all in one place.

These builders are popular because they are flexible and customizable. A community of developers helps to improve them by adding new features and fixing problems. You can find many themes and plugins to make your website look and work how you want.

What to Look for in Open-Source Website Builders

Choosing the right open-source website builder is crucial for creating a robust and scalable web presence. The ideal platform should offer a balance of ease of use, flexibility, and strong community support to ensure your website can grow and adapt over time. Here are key factors to consider when selecting an open-source website builder:

• Dedicated Support: Look for open-source software with a dedicated community following and developers who regularly update it. This ensures the platform will be safe to use in the future.
• Ease of use: Look for an intuitive interface with drag-and-drop functionality that simplifies the design process. Comprehensive documentation and tutorials are also essential to help users get started quickly.
• Templates: Templates serve as pre-designed blueprints for web pages. They are essential for responsive layouts, adapting seamlessly to different screen sizes. Responsive templates ensure your website looks good on both desktop and mobile devices. They adjust layouts, fonts, and images to fit screen sizes.
• Plugins: They can provide features like contact forms, online store tools, SEO controls, and enhanced security. However, choose plugins carefully to avoid conflicts and potential malware. Use industry-recommended plugins to ensure safety and reliability.
• Upload of images: A good website builder makes it easy to upload images in formats like PNG, GIF, JPEG, and SVG. It should also allow you to effortlessly replace default layout images and backgrounds.
• Themes and colors: Themes form the foundation of your website’s design. They offer variations in numerous built-in options, such as layouts, colors, and columns. Select a theme that matches your website’s specifications. Poorly coded themes can slow your site and negatively impact SEO and responsiveness.

While surfing the internet, you will find many popular options with unique strengths. Evaluate them based on these criteria to find the best fit for your needs.

Top Open-Source Website Builders

We reviewed open-source website builders by exploring documentation, engaging with online communities, and testing the tools ourselves. This list combines our hands-on experience with insights from the broader community.

1. WordPress

🥇best open-source website builder for flexibility.

WordPress is a powerful and versatile open-source CMS and website builder that currently empowers 43% of websites worldwide. The software can be downloaded and used for free on WordPress.org for self-hosting, the preferred method for building any website with limitless flexibility. However, you can also use their all-in-one Saas solution, WordPress.com , if you want a more streamlined onboarding process with more limitations.

WordPress (.org) delivers comprehensive website-building solutions. With 30,000 customizable themes and 58,000 plugins, users can easily tailor their sites to their needs. WordPress also provides strong content management tools, SEO optimization, and integration with third-party services.

Due to its widespread use, plenty of WordPress hosting providers can get your site up and running for just a few bucks a month or free.

WordPress + Divi

Some of the best themes , like Divi , can enhance the process of building a WordPress website above and beyond the default block editor.

Divi is a versatile theme and website builder that offers extensive customization options. It includes:

• Visual Page Builder- a drag-and-drop interface allowing users to design their pages visually in real time without coding .
• Theme Builder – build and manage all of your global site templates (blog posts, page categories, WooCommerce pages, etc.) using the visual builder and dynamic content modules.
• Divi AI – a powerful AI website builder integrated into the theme that can automatically generate entire sites , sections, images, and text to fit your brand.
• 200+ content modules – including sliders, forms, galleries, and more.
• 300+ website templates and starter sites – choose from thousands of layouts to jumpstart your designs

With Divi AI, you can generate a complete website in 2 minutes.

Your browser does not support HTML video.

So, if you are worried about spending countless hours and money developing your site, don’t sweat it. With WordPress, it’s all about finding the right theme and plugins to do all the heavy lifting for you. Regarding open-source builders, it is hard to compete with WordPress.

What We Like About WordPress

• Extensive Theme Library: With over 30,000 free and premium themes available, WordPress enables users to easily customize the appearance of their websites.
• Plugin Ecosystem: It boasts over 58,000 plugins that extend its functionality. Installing and activating plugins allows users to enhance their websites with features like SEO tools , contact forms , eCommerce capabilities ( WooCommerce ), social media integration, and more.
• Gutenberg Block Builder: The Gutenberg block builder revolutionizes content creation with its intuitive, drag-and-drop interface. Users can easily add, arrange, and style various content blocks, such as text, images, videos, and widgets, without coding knowledge.
• Regular Updates: This platform is continuously updated to improve security, functionality, and performance. Users benefit from these regular updates by accessing the dashboard and checking the themes/plugins that must be updated.
• Customization and Control: The WordPress Customizer and Block editor allows users to efficiently manage and organize their website content. Moreover, features like content scheduling, revision history, and media management make creating and maintaining a dynamic and engaging website easy.

What Can Be Improved

• Security Concerns: Due to its popularity, WordPress sites are frequent targets for hackers. Despite providing regular updates and effective security plugins , a more robust security framework could be beneficial.

🥇Why We Picked It

WordPress allows users to add virtually any functionality without extensive coding. Its vast array of themes provides unparalleled design versatility, and the built-in Customizer tool enables extensive design modifications. The user-friendly content editor, Gutenberg, and a robust media library simplify content creation and management.

Who Is WordPress Best For?

WordPress is best suited for bloggers, small businesses, and non-technical users. Its user-friendly interface, extensive library of plugins and themes, and large community support make it ideal for those without technical expertise. Small businesses benefit from its flexibility and customization options, while its built-in SEO features are particularly advantageous for bloggers looking to enhance their search engine rankings.

Community Reviews and Ratings

Users on platforms like G2, Capterra, and Sitejabber commend WordPress for its open-source flexibility and wide range of customization features.

WordPress.com offers a free version and paid plans starting at $9 per month . (hosting included). WordPress.org software is free to use with affordable hosting providers like SiteGround .

Get Started with WordPress

🥈Best Open-Source Website Builder for Scalability

Umbraco is a powerful, flexible, open-source website builder designed to help businesses create and manage dynamic websites. It offers a robust platform enabling developers and content creators to build custom web solutions tailored to their needs. With its intuitive user interface, Umbraco makes it easy for users to manage content without extensive technical knowledge. The platform supports various features, including advanced media management, seamless integration with third-party applications, and a rich plugin ecosystem for extensive customization. Additionally, Umbraco’s scalability ensures it can grow alongside your business, accommodating everything from small blogs to large enterprise websites.

The Grid Editor allows users to create complex, responsive layouts without writing a single line of code. This highly customizable drag-and-drop interface effortlessly enables users to build and rearrange content blocks. The Grid Editor simplifies content creation and ensures consistency across the website, making it easier for teams to collaborate and maintain a unified design language.

What We Like About Umbraco

• Flexible Content Management: Umbraco allows you to publish news, images, campaigns, and various other types of content effortlessly without the need to write any code. You can revisit your work anytime and benefit from automatic publishing features.
• Scalable and Reliable Hosting: Umbraco Cloud’s hosting infrastructure ensures reliable performance and scalability as a hosted platform. Users benefit from automatic updates, security patches, and regular backups, ensuring a secure and up-to-date site.
• Content Audit: The platform provides robust version control, ensuring your content is never lost. If you need to undo changes or revert to a previous version, you can easily roll back to an earlier version of your content.
• Ecommerce Integration: Umbraco Commerce add-on sets up an online store with integrated eCommerce features, including shopping cart functionality, payment gateways, and inventory management.
• Automatic Cropping of Images: It ensures your images look great across all formats, including a blog page, social media post, or website header. Its responsive image management features automatically adjust and optimize images for different display contexts.
• Not Enough Plugins: Unlike other open-source website builders, such as WordPress, this platform does not offer many plugins. However, Umbraco 8 can influence this and make it a priority.

🥈Why We Picked It

Umbraco offers a flexible content management system that can accommodate small websites and large, complex applications. Its customizable backend can be tailored to meet specific project needs, and the platform’s strong API support facilitates seamless integration with other systems and services.

Who Is Umbraco Best For?

Umbraco is highly suitable for developers, large enterprises, and tech-savvy users. Known for its flexibility and scalability, it is ideal for large enterprises that require tailored solutions and can handle complex content structures. Umbraco offers a developer-friendly environment with a robust API appealing to technical users.

Umbraco is renowned for its powerful and flexible content management features. Users praise its scalability and customization options, noting the platform’s ability to easily handle complex websites.

Umbraco is free to use, and its pricing plans start at $43.56 per month . The suggested hosting providers for this platform include Hostinger and Kamatera.

Get Umbraco

3. T3Planet

🥉best open-source website builder for user experience.

T3Planet is a robust and dynamic platform that redefines how we create and manage websites. It offers a comprehensive suite of tools and features to streamline web development. T3Planet supports seamless integrations and responsive design and offers a powerful content management system (CMS) that ensures flexibility and scalability. Additionally, it provides advanced SEO tools, multilingual support, and robust security features.

T3Planet’s extensive template library allows users to choose from many professionally designed templates tailored to different industries and needs. Templates are available in multiple categories, such as corporate, eCommerce, and portfolio.

What We Like About T3Planet

• Extensive Template Library: T3Planet provides a vast collection of pre-designed templates. It has more than 150 custom TYPO3 elements and 15 pre-built demos.
• Built-In SEO Tools: This platform can become your SEO technical partner, overseeing your projects individually. It also provides content optimization support, such as on-page optimization.
• Efficient Backend Management: An editor-friendly TYPO3 backend allows developers to access and modify the source code. This flexibility enables advanced customization and the integration of third-party plugins and extensions.
• Ecommerce Ready: With built-in eCommerce capabilities, this platform allows users to easily set up online stores. Features such as product catalogs, shopping carts, and payment gateways are included.
• Performance Optimization: While T3Planet offers many features, website performance can be improved. Faster load times and better resource management could enhance user experience, especially for content-heavy sites.

🥉Why We Picked It

T3Planet has a highly intuitive drag-and-drop interface, which simplifies site-building. Its templates are fully responsive. The platform includes a rich library of pre-built elements and modules. Lastly, T3Planet’s integrated SEO features help optimize content for search engines.

Who Is T3Planet Best For?

T3Planet is designed for Joomla users and developers. Built on the T3 Framework, it integrates seamlessly with Joomla, making it perfect for those already using or planning to use this CMS. It offers advanced customization options, ideal for developers creating complex websites. Additionally, the wide range of templates available caters to countless industries.

T3Planet stands out for its user-friendly interface and seamless integration capabilities. Users appreciate its intuitive design and the ease of creating and managing content.

T3Planet offers a free trial, and its pricing plans start at $86 per month . The hosting options for this website builder include Platform.sh and Brightside.

Get T3Planet

4. Webstudio

Webstudio is one of the best open-source alternatives to Webflow . It is a comprehensive builder designed to simplify web design without locking users into a specific host. It offers unparalleled flexibility and control, enabling users to create stunning websites without extensive coding knowledge. Its extensive library of pre-designed templates and customizable elements ensures users can quickly create unique, professional-grade websites. Additionally, Webstudio supports a handful of plugins and integrations.

This platform’s real-time collaborative editing capabilities make it preferable. It ensures that users can edit pages and sections on the front end. This streamlines the web development process, reducing the need for back-and-forth communication and ensuring that updates and changes are instantly visible to all team members.

What We Like About Webstudio

• Efficient Style Management: Webstudio simplifies style management by allowing users to attach styles to Tokens, which can be easily added, deleted, or reordered. Additionally, the platform features local styles for on-the-fly design without creating tokens or naming styles. Users can seamlessly convert Local Styles into reusable Tokens.
• Influence of AI: It uses AI technology to transform voice or text input into website components and styles. Users can build their websites by simply speaking or typing their design preferences, and the AI will automatically translate these prompts into functional elements and styles.
• Cloud-Based CMS: With cloud-based CMS, you can manage your website content from anywhere, ensuring real-time updates and changes.
• Advanced Customization: It allows users to define custom breakpoints for precise control over responsive design. Additionally, users can upload custom fonts, including variable fonts, directly into the platform.
• Suitability for Coding Experts: Webstudio is primarily suited for coding professionals, as certain features, such as animations, need coding with GSAP.

Who Is Webstudio Best For?

Webstudio is tailored for designers and creative professionals, focusing on creative freedom and visual aesthetics. It offers a user-friendly interface that allows designers to create visually appealing websites without deep coding knowledge. Extensive design customization options benefit creative professionals looking to showcase their work. Additionally, collaborative tools included in Webstudio support team projects, making it an ideal platform for design teams.

Webstudio is free to use, and its pricing plans start at $20 per month . You can also export your Webstudio projects as a static HTML site to be self-hosted on most hosting platforms.

Get Webstudio

5. GrapesJS

GrapesJS is a versatile web builder framework designed to help users create and manage HTML templates without requiring extensive coding knowledge. It boasts a user-friendly drag-and-drop interface, enabling seamless editing and layout customization. Its component-based architecture allows users to create reusable content blocks, streamlining the design process and ensuring project consistency. Additionally, the framework supports responsive design, ensuring that websites look great on any device. With built-in tools for managing styles and assets, GrapesJS simplifies the web development workflow.

GrapesJS’s robust and extensible plugin system allows developers to easily add new functionalities and integrate third-party services. By using plugins, users can expand GrapesJS’s core features to include advanced forms, custom scripts, and interactive elements. The plugin ecosystem promotes a collaborative community where developers can share and access countless tools and enhancements.

What We Like About GrapesJS

• Built-In Code Editor: This platform includes a built-in code editor for advanced users that enables the customization of HTML, CSS, and JavaScript directly within the platform.
• Asset Manager: Save and manage media content, which can be reused across multiple projects. You can double-click on images to make changes.
• Extensive Styling: The Styling manager ensures users can easily design complex layouts. You can also go through the CSS properties of those components to achieve the desired results.
• Real-Time Preview: Users can see changes instantly as they make edits. This immediate feedback helps in refining designs on the fly and ensures the final product matches the user’s vision.
• Limited Pre-Built Templates: While GrapesJS provides a robust website framework, it lacks a wide selection of pre-built templates. Without a diverse template library, new users may struggle to start quickly.

Who Is GrapesJS Best For?

GrapesJS caters to developers and technical users. Its design emphasizes deep customization and control over website building, making it perfect for developers. It integrates seamlessly with custom code, allowing technical users to implement specific functionalities. GrapesJS’s component-based architecture benefits developers looking to create reusable elements, and its flexibility and extensibility make it suitable for building complex and custom web applications.

GrapeJS is free to use. It is typically used as a front-end editor and can be hosted on platforms supporting custom web applications, such as Codesphere.

Get GrapeJS

What are the Best Open-Source Website Builders?

Exploring open-source website builders can be a great option if you’re looking to build a website without breaking the bank. These tools offer flexibility and customization, allowing you to create a site that perfectly suits your needs. To help you navigate the numerous choices available, we’ve curated a few comparison tables of the top open-source website builders.

Feature Comparison of the Best Open-Source Website Builders

The best open-source website builders share several key features: they offer extensive customization options, have a user-friendly interface, and provide robust community support. These platforms allow for flexible design and seamless integration with various tools and often come with a wide range of plugins and extensions to enhance functionality.

Best Open-Source Website Builders: Price Comparison

Open-source website builders have different pricing models. While they are generally free to use, some may offer optional premium features or paid add-ons. The table below compares our top open-source website builders based on their base cost, optional upgrades, and overall value.

WordPress is our top choice for the best open-source website builder. It is user-friendly and offers a vast array of powerful tools and plugins that allow you to create and manage any type of website. If you are a developer or designer looking to build professional-grade sites, T3Planet is a robust platform with advanced customization options. On the other hand, Umbraco provides a powerful open-source solution for those seeking a scalable open-source website builder that can cater to a wide range of web development needs.

Want to build your first website? You should be able to select your preference in our list of best website builders .

Frequently Asked Questions (FAQs)

What is the best open-source website builder for beginners, are open-source website builders secure, can i use open-source website builders for ecommerce, do open-source website builders support seo, how do i choose the right open-source website builder.

Explore Our Top Picks

Here are our favorites! 👇

Get WordPress Today!

With so many great options available, it can be hard to pick one. find out why wordpress is our favorite. 👇.

By Fahad Hamid

Fahad enjoys writing about a diverse range of topics, from business and marketing to design. Alongside this, he balances his love for tennis, showing skill both on the page and on the court.

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Interacting With REST APIs and Python

There’s an amazing amount of data available on the Web. Many web services , like YouTube and GitHub, make their data accessible to third-party applications through an application programming interface (API) . One of the most popular ways to build APIs is the REST architecture style. Python provides some great tools not only to get data from REST APIs but also to build your own Python REST APIs.

In this video course, you’ll learn:

• What REST architecture is
• How REST APIs provide access to web data
• How to consume data from REST APIs using the requests library
• What steps to take to build a REST API
• What some popular Python tools are for building REST APIs

What’s Included:

• Video Subtitles and Full Transcripts
• 2 Downloadable Resources
• Accompanying Text-Based Tutorial
• Q&A With Python Experts: Ask a Question
• Certificate of Completion

Downloadable Resources:

• Course Slides (.pdf)
• Sample Code (.zip)

Understanding and Designing REST APIs

7 Lessons 30m

• 1. Interacting With REST APIs and Python (Overview) 01:36
• 2. Understanding Rest APIs 04:58
• 3. Consuming APIs - GET and POST 06:32
• 4. Consuming APIs - PUT PATCH and DELETE 03:34
• 5. Designing REST APIs 04:09
• 6. Designing Data Exchange and Responses 06:37
• 7. Designing Error Responses 02:52

Building REST APIs

8 Lessons 29m

• 1. Building REST APIs: Flask 06:25
• 2. Expanding and Using Flask App 03:08
• 3. Getting to Know DRF 04:09
• 4. Loading and Serializing Data With DRF 04:08
• 5. Adding URLs and Using the API 04:29
• 6. Using FastAPI 04:10
• 7. Using the FastAPI API 02:14
• 8. Interacting With REST APIs and Python (Summary) 00:55

About Darren Jones

With 20 years as a teacher of music technology, Darren is keen to bring his skills to the Python table.

Each tutorial at Real Python is created by a team of developers so that it meets our high quality standards. The team members who worked on this tutorial are:

Christopher

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