Last updated on November 28th, 2023 at 09:20 am
Talk of the leading global tech companies and you will see they use Python programming as an integral part of their technology stack. Created in 1991, Python has become one of the most popular programming languages worldwide. The simplicity, shorter learning curve, reduced development time and effortless coding experience has made Python a coveted choice with many developers.
Let us see how Python is used in Data Science projects and web development along with some real-world applications.
Using Python in Data Science projects and web development
The universal, high-level programming language, Python is used extensively in various web development and Data Science projects.
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Web development
Flask and Django are Python frameworks, which are famous for web development. Python also has extensive modules and libraries, which speed up development time considerably.
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Web scraping applications
Python facilitates extracting huge volumes of data quickly from sources for price comparisons, research and development and email address gathering. With the logistic regression classification technique, Python solves classification problems. The simple-to-code programming language has a lucid syntax and a great collection of useful libraries like Pandas, Numpy and Matlplotlib.
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Data Science
Python helps in quickly analysing and manipulating data. The programming language has graphing libraries which support data visualisation. Moreover, you will find a vibrant and active Python Data Science community.
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Game development
Python libraries like Pygame are great for building games and prototypes. Popular games like Battlefield 2, EVE Online and World of Tanks are built with Python.
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Python application development
Since Python is a general-purpose language, it is used for developing desktop GUIs, file directories and APIs.
Real-world applications of Python programming
There are thousands of Python websites and apps running on the internet successfully. Let us take a look at some of the real-world applications using Python.
Uber
Uber, the well-known mobility-as-a-service company, had doubts about choosing between Ruby and Python while selecting a programming language. They chose Python for the backend and frontend functions.
The Uber platform needs to make many calculations. Uber’s backend predicts traffic, demand and supply, arrival times, approximate reaching time to the destination, etc. Python is also great for mathematical calculations at big data levels.
Do you know the internet’s popular source of cat videos or dank memes? You guessed it right - Reddit. Self-acclaimed ‘internet’s front page’, Reddit is also a great source of community interactions.
Reddit uses Python as the programming language because of its easy readability and writeability. Moreover, Python has diverse arrays of ready-to-use libraries. Along with Python, Reddit also uses Javascript and Go.
Spotify
As a music enthusiast, you do not need to go anywhere else other than Spotify to listen to the kind of music that you love. Spotify has developed as a huge podcast and music streaming platform with more than 489 million active users monthly worldwide.
You don’t need to look for MP3s, torrent links, or other websites to listen to your favourite music. Spotify developers have used Python for building infrastructure to run user forecasts.
Python is the main programming language used in Instagram. There have been many changes in Instagram’s tech stack, but the app wouldn’t be born without Python. Instagram was built using Django, which is a Python web framework. The viral video and image-sharing platform has almost 1.35 billion users globally in 2023, which is expected to reach 1.44 billion by 2025.
With an increasing number of users, Instagram developers are creating static sort checkers using Python for server investigation. The server has millions of lines of Python code.
Netflix
Netflix began its business as a DVD-by-mail service. Today it has become a leading video streaming platform with millions of paid subscribers globally. One of the reasons for the popularity of Netflix is its powerful analytics and recommendation engine. The company offers suggestions to users by understanding the kind of content that they watch. The recommendation and analytics engine is based on Python.
Extremely intuitive, Python programming language helps in solving complicated networking problems. The content lifecycle of Netflix uses Python including security tools and Machine Learning recommendation algorithms. For statistical analysis, developers use Python libraries. Python is also used for automation tasks, data cleaning and exploration and data visualisation.
YouTube
YouTube is not only a video-streaming platform on the internet, but it is also the second-largest search engine after Google. YouTube has billions of logged-in users monthly. Along with being a search engine, YouTube is also a popular social media platform.
YouTube is written exclusively in Python. The interactive experience that users enjoy is due to the various libraries and features of the Python language. The coding of the platform is done in a manner so that the process of downloading, uploading and sharing videos becomes easy.
Quora
Quora is a question-and-answer platform mainly targeted at professionals who seek answers to various queries on different subjects. Quora has almost 300 million users. Along with sharing answers, professionals also share their experiences on various subjects on Quora.
Developers of Quora tried using various programming languages for the development of the platform. Python suited them best more so because of the amazing development speed of the programming language.
Conclusion
Python programming language is a favourite among all leading global technology leaders for its robust, reliable and engineering enterprise-level applications. The majority of websites and apps use Python for their development as the coding is simple and easy. Becoming a Python developer will help in making a great career with a lucrative pay package.
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