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10 Famous Websites Built Using Python – Learn to code in 30 …

Chris Castiglione Follow
Teacher at One Month. Faculty at Columbia University where I teach Digital Literacy. I write about coding, the internet, and social impact.
January 10, 2020
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.
2. Google
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.
3. Spotify
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.
4. Netflix
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.
5. Uber
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,, Go, and Java. We started with two main languages: 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.
6. Dropbox
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) 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.
9. reddit
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.
10. lyft
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.
Web Development - Full Stack Python


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Web Development – Full Stack Python

Web development is the umbrella term for conceptualizing, creating,
deploying and operating web applications and
application programming interfaces
for the Web.
Why is web development important?
The Web has grown a mindboggling amount in the number of sites, users and
implementation capabilities since the
first website went live
in 1989. Web development is the concept
that encompasses all the activities involved with websites and web
How does Python fit into web development?
Python can be used to build server-side web applications. While a
web framework is not required to build web apps,
it’s rare that developers would not use existing open source libraries to
speed up their progress in getting their application working.
Python is not used in a web browser. The language executed in browsers
such as Chrome, Firefox and Internet Explorer is
JavaScript. Projects such as pyjs
can compile from Python to JavaScript. However, most Python developers
write their web applications using a combination of Python and JavaScript.
Python is executed on the server side while JavaScript is downloaded to
the client and run by the web browser.
Web development resources
To become an experienced web developer you need to know the foundation
principles that the web is built with, such as HTTP requests and responses,
client (typically web browsers) and server (web servers
such as Nginx and Apache
architectures, HTML,
CSS and JavaScript, among
many other topics. The following resources provide a range of perspectives
and when combined together should get you oriented in the web development
How the Internet works
is a must-read to get a quick overview of all the pieces that go into
a network connection from one machine to another. The example explains how
an email is sent and the story is just as useful for learning about other
connections such as downloading a webpage.
If you want to be a web developer it’s important to know the foundational
tools used to build websites and web applications. It is also important to
understand that the core concepts such as
HTTP, URLs and HTML were all there
at the beginning and then were expanded with new specifications over time.
This article on the
History of the Web
succinctly explains the origins of the web starting from Tim Berners-Lee’s
origin vision and release at CERN.
Web Architecture 101
is a great high-level overview of the technologies that run the modern
web, such as DNS, load balancers, web application servers (for Python
that equates to WSGI servers),
data bases, task queues,
caching and several other critical concepts.
What happens when? is an
incredibly detailed answer to the questions “What happens when you
type into your browser’s address box and press enter? ” that
seems straightforward on the surface until you really dig in.
How browsers work
provides an overview with solid detail on how browsers take the HTML,
CSS, JavaScript, images and other files as input and render webpages as
output. It is well worth your time to know this stuff as a web developer.
The history of the URL
explains how the growth of ARPANET to hundreds of nodes eventually led to
the creation of the URL. This is a great read that provides historical
context for why things are the way they are with the web.
The Browser Hacker’s Guide to Instantly Loading Everything
is a spectacular technical talk given by Addy Osmani at JSConf EU 2017
that has great bits of developer knowledge for both beginner and
experienced web developers alike.
Build a web application from scratch
and its follow on posts for
request handling
middleware explores
the fundamentals of web development. Learning these foundational concepts
is critical for a web developer even though you should still plan to use an
established web framework such as
Django or Flask to build real-world
applications. The
open source code
for these posts is available on GitHub.
While not Python-specific, Mozilla put together a
Learning the Web tutorial
for beginners and intermediate web users who want to build websites.
It’s worth a look for general web development learning.
Web development involves HTTP communication between the server, hosting
a website or web application, and the client, a web browser. Knowing
how web browsers works is important as a developer, so take a look at
this article on
what’s in a web browser.
Ping at the speed of light
dives into the computer networking weeds with how fast packets travel through
the internet plumbing. The author created a
Python script that scrapes network speeds
from disparate locations to see what the network speed is in fiber optic
cables as a percentage of the speed of light.
The critical path: optimizing load times with the Chrome DevTools
provides a well-written explanation about using Chrome’s developer
features to improve the performance of your websites and web applications.
Three takeaways for web developers after two weeks of painfully slow Internet
is a must-read for every web developer. Not everyone has fast Internet
service, whether because they are in a remote part of the world or they’re
just in a subway tunnel. Optimizing sites so they work in those situations
is important for keeping your users happy.
The History of the URL: Path, Fragment, Query, and Auth
gives a comprenhensive historical perspective on the fundamental
way to link to resources on the web. This post should be required reading
for web developers.
Quantum Up Close: What is a browser engine?
explains how a browser takes in
images and any
other data and files to produce a webpage as output.
How to understand performance tests
is an important topic because many websites are slow and bloated.
Learning about improving the performance of your site is one of
the best ways to become a better web developer. Another great article on
website performance is
The average web page is 3MB. How much should we care?.
The visuals alone tell a compelling story about how large webpage
sizes have grown in recent years.
Let’s get started. What do you want to learn right now?
I want to learn how to code a Python web application using a framework.
I’ve built a Python web app, now how do I deploy it?
How do I improve an app’s user interface?
Top 10 Websites to Learn Python Programming | by Satyanageshan

Top 10 Websites to Learn Python Programming | by Satyanageshan

A lot of good options are available to learn Python online, but you have to pay for them. Hence, we’ve brought you seven best websites for Python Programming which are you’re a beginner to Python programming, then you made the right decision to learn it. It is the top programming language and has a broad scope for would love to help in your journey from Python programming beginners to a pro. The below tutorial is the one that can help you learn Python in a step by step note, once you get the basics on, you can start building things quickly. Let’s now review the best free websites for Python programming Software Foundation’s official website is also one of the richest free resource locations. This is the website you can come back to for clarifying anything that might seem new and unfamiliar. If you’re a student who uses a standard textbook, will serve as an indispensable resource to solidify all your concepts. It can be an excellent thing if you’re preparing for of the micro-sites worth checking include an index of standard library functions, a Wiki page, and an extender module for C/C++ users. The wiki is also an excellent resource to avoid beginner’s you prefer a modular, crash-course-like learning environment, SoloLearn offers a fantastic, step-by-step learning approach for beginners. You have to register on the website first. All new concepts are introduced in an iterative fashion and build on the previous module lessons. There are quizzes at the end of each module. In fact, it might be helpful to begin your Python journey with SoloLearn. Once you have mastered the key concepts, it would be easier to consolidate them on Python’s official Beamers wins our attention due to a comprehensive collection of beginner’s concepts in one place. Unlike the previous example, this e-learning website offers more than just tutorials. It has advanced coverage of concepts such as multithreading and Python MongoDB. There are several code examples to learn from along with updated blog entries to help stretch your imagination. Because of its blog-like environment, TechBeamers is recommended if you want to learn basic to intermediate Python without having to register is not an exclusively Python tutorial website but houses a collection of different courses (both free and paid). As of now, there are sixty-seven free courses on Python, so you can easily find one that will suit your requirements. Many of these courses are for advanced learners, but there are plenty to learn for beginners as well. Apart from Python, you can also learn about related course materials including Django framework, machine learning and data you want to learn Python for free without having to read boring book modules, Real Python offers the best one-stop resource online. You don’t have to register on the website, but it might be helpful to subscribe to new blog posts. All topics have been arranged methodically and with detailed, step-by-step explanations. You can easily practice them on your own Python interpreter most intuitive part of the website is a search function where you can quickly find tutorials on any topic of your choice. In the following screen we have some excellent results for DevOps. No matter if you want to do web development, machine learning, cloud computing or data analysis, this website simply rocks for everything seems the “free” buck really stops with Real Python. Or does it? Wait, we have a bonus learning web resource for Python that you must check thing consolidates learning like testing your concepts in an unfamiliar environment. If you have picked up a fair bit of Python from the above tutorial websites, you must gamify your learning experiences at There are multiple-level riddles based on Python, and you get to test your wits against the best brains out there. The challenge website also contains a leaderboard that can be Python certification will teach you how to Program and Analyze Data with Python. This online program, taught by Charles Severance, Associate Professor at the University of Michigan, will introduce you to foundational programming concepts including data structures, networked application program interfaces, and databases using Python. After the completion of the core concepts, you will get an opportunity to work on a final Capstone project and implement the skills you have acquired throughout the lectures. Along with this program, you may also want to take a look at our compilation of Best Machine Learning Buchalka and Jean-Paul Roberts have together taught over 400, 000 professionals and students online! They are both expert developers and teachers, which is why their courses are much sought after and highly recommended by attendees. In an extensive course spanning 38. 5 hours, you will learn step by step how to master program will introduce you to a series of open-source powerful tools required to analyze data and draw insight from them. Specifically, you will learn to work on python, matplotlib, git, pandas and other tools. The concepts are covered in a way so that they can be utilized for solving compelling and complex data science problems and challenges. By the end of the lessons, you will be able to draw answers from large datasets by using various tools to import data, explore and analyze it as well as visualize the information in the form of reports and use them to solve camp is known for providing the most valuable programming courses for all types of individuals. This interactive Python course will introduce you to the basic concepts of Python as well as give you exposure to some advanced concepts like Python lists, Functions, and Packages, etc. It includes four different chapters, amongst which the basics of Python is the easiest and the only free section available with the course. Taking this course will help you gain a solid knowledge of Python programming and how to implement it for different data analysis. Also, you will liable to get a certification of completion after finishing the website has been created with the vision to help people to learn to code for free. If you are more of a hands-on learner then you are sure to enjoy this learning medium. The introductory classes talk about variables, dictionaries, loops, and functions. Once you have a solid understanding of the basics, you can move on to advanced concepts like map filter reduce, sets, serialization, and partial functions along with an overview of data science fundamentals. Get up to date with the key features that Python has to offer in a short amount of time using the concise a beginner in Python or someone extending from C/C++, there are so many tutorial websites to learn from. Clearly, it can seem confusing at first on how to begin your learning path. If you have enough time and patience, the free websites mentioned here offer abundant material to learn from.

Frequently Asked Questions about websites python

Can you make websites with Python?

Python can be used to build server-side web applications. … However, most Python developers write their web applications using a combination of Python and JavaScript. Python is executed on the server side while JavaScript is downloaded to the client and run by the web browser.

Which website is best for Python?

Let’s now review the best free websites for Python programming Python Software Foundation’s official website is also one of the richest free resource locations. … SoloLearn. … TechBeamers. … … Real Python. … Simpliv. … Udemy. … Edx.More items…•Nov 7, 2019

Is Python good for web design?

Python can be used not only for web development but also in many different fields (Artificial Intelligence, Deep Learning, and the Internet of Things) and in many different industries like Travel, Healthcare, Transportation,and Finance.Apr 29, 2021

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