February 5th, 2019

8 Great Apps You Didn't Know Were Actually Written in Python

Python gives developers pretty daring opportunities to experiment to implement even the wildest ideas and create market-winning products. The applications on this list became such a revolution in one way or another.
Python, being one of the oldest programming languages, has seen a drastic rise in popularity over recent years. It's no surprise that lots of top-tier companies gravitated towards this tool to create stellar and popular products. Python, like the snake of the same name, provides a high level of dexterity when it comes to conjuring fast-running and reliable software and copes with a high load for your product.
Unlike its less popular competitors, Python focuses on making its code easily readable for developers, thanks to being a high-level language.
As one of its slogans says: "Complex is better than complicated"—when compared to Java or C++, Python's easy syntax allows processing the same actions in fewer steps.
Versatility is another factor that makes it attractive; being able to write code using both object-oriented and functional approaches is an advantage you can't ignore. You can also add an extensive default library, dynamic features, and automatic memory management that make Python a versatile, multi-platform soldier that runs on Microsoft Windows, Mac OS, and Linux. The latest 3.7.2 version has a massive toolkit for delivering high-performance experience regardless of the user base size; that's why a plethora of big names chose this technology to be the backbone of their large-scale products.

Given how well it handles in Big Data projects, it was a matter of question before big companies start favoring Python when dealing with massive loads of information and remain stable, while the production time is not a concern either.


This file-hosting platform takes its roots from 2007, and Python played a huge role in making it a mogul in this area—both computer apps and servers were written by using this language. The app boasts its simplicity and scalability; the programming language allowed for creating a product that requires close to minimum technical knowledge to master all its features and supports virtually every platform at this moment, including Windows, macOS, Linux, and all sorts of mobile systems, even Windows Phone and Blackberry. Starting from 2-16GB of free storage, users can buy up to 1TB of Cloud-based stash for saving their files, which made it a popular choice when you need a handy tool for casual hosting purposes.
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Not many people know this, but Instagram was also based around Python. Much like Dropbox, this was the language that made it work despite some other languages coming afterward. By using Django, a neat web-framework built on Python, Instagram creators managed to launch a rather simplistic, yet fast-running website for sharing images. In fact, even after being bought by Facebook in 2011, Instagram still currently uses Django, which played a big role in making their product easy-to-scale, fast, and rather secure for millions of users every day.
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Yet another big name on the list, but this time it's a leader in streaming services. It's hard to believe, but Netflix used to be a shy DVD-by-mail disc rental company and is now a tech giant with over $11.6b in annual revenue. A good part of their service is now based on Python that is also responsible for all the data analysis and recommendations engine. This not only enables the whole platform functioning but also gives a glance at which type of content the company should focus on when dealing with their hundreds of millions of subscribers.
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The modern-day synonym for music, Spotify gives a platform for all kinds of audio tracks in 65 countries via streaming services. There's a good chance you've used it, so you should probably be aware of how good it feels to find your favorite music and listen to it for free. Python is often an indicator of good searching capabilities, and Spotify is no exception—all the music in the world can be found based on the artist, label, albums, or genres and put into your playlist. 150M users have taken advantage of more than 30M songs and 2B playlists, 75M users have a premium version that gives access to 320kb/s of audio quality. Python, which is responsible for all the back-end shenanigans and analytics for Spotify, has become a reliable substitute for all sorts of places like YouTube or anonymous torrents that can only give you rip-offs of what the songs should sound like.
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Name me a more influential place on the Internet other than Reddit. They have rightfully proclaimed themselves as a "front page of the Internet," especially for the gamers, making it more than just a forum for dank memes and funny videos. It's now a legitimate rival for Twitter in being the first place where the news and rumors are posted, whether it's politics, media, or sports figures: virtually every grand persona now has a dedicated segment.

Being the go-to place for hundreds of millions of users each day, Reddit took the best of Python, as Steve Huffman, CEO and a co-founder of Reddit told that its readability and concise nature played a big role in their success, allowing non-technical executives to see whether code pieces are good or not before deployment. As a result, especially after receiving CV funding, Reddit managed to overcome uptime issues and became a Python-based reliable stronghold for the masses.
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Even if you feel dismayed by a recent data leak from Facebook, it's still a major company with over 1B users and the icon for anyone who deals with social media. Although only 21% of the Facebook code is written in Python, it is a vital part of the product that is responsible for driving virtually all infrastructure services involved in server imaging, fault detection, DNS, network switch-up, and many others. Basically, all the subsidiary technologies that enable whole Facebook functioning are there thanks to Python.
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A good-old phrase from one of the executives "use Python where we can, use C++ where we must" pretty much describes their bias towards programming languages. The most popular search engine takes advantage of Python being able to seamlessly handle massive amounts of data, and the same can be told about the apps that are run in combination with the main site. It's safe to say that the speed and performance levels that Google easily provides would be impossible without Python usage, a cornerstone for dynamic-scripted and non-scripted contexts.
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Google's close relative—an adopted child, if you will—YouTube is all about using Python. In fact, it's almost fully made of it, Guess what is responsible for integrating streaming videos into pages? Pressing the "Like" button and embedding information is also a part of Python's functionality. What was originally written in PHP then became a beautiful Python-based product that runs fast and sleek, regardless of what you think about copyright policy, featured videos, and ads in them—these are political decisions and not technical flaws.
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You can rightfully say that Google is obsessed with Python. They're one of the Pycon conference sponsors—a hotspot for Python enthusiasts, plus the creator of this language, Guido van Rossum, was a part of Google until 2012, so they surely know limits and capabilities of this language.


In a way, Quora is much like Google: if you get a question, it will provide you with a high-quality response based on relevance from a self-organized community. That's why it's logical that both companies prefer Python over the competitors—it's aptitude towards deep learning and unit tests played a big role in the final choice. Becoming a massive tool for marketing purposes would also be impossible without Python. Quora is now one of the ways for company representatives to publish their expertise-based responses in order to attract new clients.

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