company using python and getting benefits
Python has gained tremendous popularity and is widely used for web applications, mobile and desktop development. But what is Python mainly used for?
In this article, we’ll explore which big companies use Python and why. In addition, we will delve into 30 top Python uses in business and how this programming language can make your project successful and profitable.
What is Python?
Python is an object-oriented programming language with concise and simple syntax. It was created by Guido van Rossum in 1991 with a vision of “language to be suitable for everyday tasks and allowed for short development times.”
Python is a versatile language. It provides extensive libraries and frameworks, easily integrates with other programming languages, and is used across different industries ranging from social media to Fintech.
Furthermore, it is the most preferred language for complex calculations and data analysis. In other words, it is a popular programming language for Machine Learning, Data Science, and Artificial Intelligence solutions.
Given its flexibility and versatility, Python’s popularity has steadily increased since its inception. According to the TIOBE index, it now leads the charts as the most popular technology:
Programming languages popularity index
30 Companies that Use Python
So, which companies use the Python programming language? Listed below are 30 market giants that adopted this technology at scale and managed to level up their projects.
1. Netflix
Netflix is a leading video streaming service with over 230 million subscribers globally.
To improve user experience and retention, Netflix uses Python to analyze user viewing history and provide personalized suggestions. Netflix engineers also use it to forecast audience size, viewership, and other metrics for platform development.
Python is used for test automation and auto-remediation of issues within the platform to enable fast and efficient delivery of new features.
Netflix is among companies using Python as a core language of their entire tech stack and for nearly every edge of the platform.
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