As a beginner in the Python programming language, you must have heard that the applications of Python are Data Science, Machine Learning, Data Analysis, Web Development, Automation, and even Robotics. But what are the existing applications of Python in the industry? If you want to know how and where Python is used in the industry, this article is for you. In this article, I will take you through some of the examples of the applications of Python.
Examples of the Applications of Python
Below are some real-world examples of the applications of Python in the industry.
Many popular businesses, applications, and websites use Python for web development. Instagram is one of the best examples of applications that uses Python for web development. Most applications use Python in back-end development, but Instagram is one of the best examples that use Python in the front-end as well as in the back-end. Instagram also uses Python to recommend content you see as suggested posts in the explore section of Instagram.
There are many areas where Google uses Python in the back-end. It is used by Google for indexing new articles and websites in its search index. Google also uses Python to find the most relevant results for your search queries using natural language processing techniques and the Python programming language. Google also uses Python as its main language for machine learning.
Recommendation Systems are one of the popular applications of Data Science. Most movies and music platforms like YouTube, Netflix, and Spotify use a recommendation system to recommend more content to their users. Spotify uses Python for its recommendation system. The recommendation system of Spotify is one of its features that is the reason behind its popularity.
So these were some of the examples of the uses of Python. There are more popular businesses, applications, and websites that use Python somewhere to provide better services. I hope you have understood the examples of the applications of Python mentioned in this article. If you want to know more about the applications of Python in the industry, you can learn more here.