TOP APPS BUILD USING PYTHON PROGRAMMING LANGUAGE

in #python3 years ago


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If you are a Python programmer or just started your journey in learning it, then you will be interested in knowing the list of top world applications created with Python. Till now you may or may not have been familiar that these apps were built using Python. Python is an open source interactive programming language. It was first used as a scripting language for Amoeba Operating System. It is built on flexible but robust semantics. It can be used for web design, scientific and numerical calculations. It is popular in data science and machine learning, and is also suitable for creating desktop GUI applications . It is also used by professionals who are dedicated to security and ethical hacking.

1. Instagram


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I think everyone of you uses or knows about this app. It is a social media networking platform that has 1 billion active users each month. While developing the application, the team motto was to start with the simplest things. And Python is itself very beginner friendly and easy to use for creating any application.

2. Uber


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Like Instagram, Uber is a fairly demanding application with a huge amount of users and data to process. However, Python is known for its ability to handle larger amounts of processable data and, as we announced above, ease of use.

3. Dropbox


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Another application that was built using Python is Dropbox. The service has recently moved from version 2.7 to 3, making it the boldest and largest migration in Python history. That requires a lot of efforts, team work and obviously dev resources. It has inspired other developers around the world typically in migrating the old version of application to the newer one.

4. Reddit


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The reason why Reddit is built on Python is more or less the same as in the case of Instagram. And since there is beauty in simplicity , it's no wonder that even a massive network like Reddit relies on Python.

5. Spotify


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The reason why Spotify used Python was for two simple reasons - speed of development and advanced data analysis . It is these factors that have enabled the service to create and then manage features such as Spotify Radio , which are based on users' personal preferences.

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