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5 Apps You Use Everyday Built with Python

Since it was established almost 30 years ago, Python has become one of the most popular programming languages. Current tech giants like Instagram and Spotify have used Python to create smooth functioning and better user experience and interface. Python essentially allows has three main uses including web development, data science such as machine learning, and scripting.

Many of the top modern-day tech companies are choosing Python and for good reason. Here are the top 5 apps built with Python:

Instagram

Instagram has dominated most social channels due to its incredible ability to provide a great experience in uploading and sharing visual context. Instagram has essentially revolutionized the way images and videos are shared, which have become a part of an entire social culture.

The popular picture-sharing app has relied heavily on Python to build proper functioning including the video-sharing services and its live uploads.

Google

The most prominent search engine in the world has been built using Python. Due to its high efficiency in Google internal systems, Python has become the number one language used in Google and will continue to do so. Python can be found in many areas hosted by Google including Google App Engine, Google Code, AdWords, and Google APIs.

As Python prides itself on many strengths, including flexibility, scalability and excellent performance, it is no secret that the best engine in the world will be utilizing this language to drive its flawless production.

Spotify

Spotify, one of the most popular music apps in the world is known for its instant listening features with zero buffering issues. Since 2008, Spotify has reached about 75 billion paid subscribers and is continuing to thrive in the market due to its high-end capabilities and perfect speed.

While the online website is actually built on WordPress, the Spotify application used by billions is built using Python. While the back-end of the Spotify app has been built with other interdependent services, about 80 percent of the entire system was indeed written in Python.

Netflix

If you’re not familiar with Netflix, we’d be surprised given it’s the world’s leading internet television network with an estimate of 33 million members in 40 countries around the globe. It’s interesting to know that while developers at Netflix had the freedom to choose which technologies would be most appropriate for the relevant goal, they chose Python.

The most popular internet television network chose Python due to its rich artillery of expressive syntax, large developer communities, a standard library and even third-party tools for solving any technical concerns. Python has been extremely efficient and reliable for Netflix, contributing to service quality and competitive innovation.

Dropbox

Home for all of your files, documents, videos, and photos, DropBox has become the go-to application for ultimate storage. Such a powerful app has become so efficient that it quickly scaled from 2000 to 200 million users. Known as Dropbox’s previous head of engineer, Rajiv Eranki, stated that they used Python for virtually everything.

As you may imagine, Dropbox needs high functionality and a well-built system that has a high capacity to be almost flawless, given its importance in storing others’ files. Python fundamentally powers a great part of the Dropbox experience including both at the backend and the client.

A talk from PyCon 2011 by a dropbox engineer stated that DropBox chose to use Python for its cross-platform support, ease of learning, and readability. These specific Dropbox features were crucial to the dynamics of their early and rapid scaling. Python’s expeditious development cycle made it possible for implementing, testing and deploying new features.

It’s clear that Python has proven to be a reliable language used by the top tech giants and has been highly trusted for top performance. Which such great demand and accessibility to large community networks, learning Python can be a game-changer in the programming world.

If you’re looking to step up your career, Noble Desktop’s has many different Python Classes to offer. Learn data science, machine learning, data visualization, and data automation in our Data Science Certificate made to help you master Python for Data Science.

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