Python as a Game Changer for Uber, Netflix & Instagram

Ever since its inception in 1991 by Guido Van Rossum, Python has developed and adapted to new technologies and is now one of the most widely used computer languages. The use of Python across dynamic fields can be attributed to its open-source, object-oriented structure, and easy-to-learn programming language. The later sections of the article will discuss the usage of Python in the real world and why it stands as a preferred set of programming language by those working in Data Science and Artificial Intelligence.

Python offers numerous frameworks and capabilities to expand across web application development, graphical user interfaces, data processing, Data Visualisation, and other areas. Several organizations extensively use Python for evaluating massive datasets, Data Visualization, Data Analytics, and prototyping. Despite the fact that Python is an outdated web programming language, it is gaining popularity amongst Data Science and Web Development students. 

7 Uses of Python in Data Science and Web Development

Listed below are the top 10 uses of Python in real-world applications. 

Web Development

Python, which is well-known as the preferred programming language for Web Development, has a significant part to play. Pyramid, Django, and Flask are just a few of the web development frameworks available in Python. These frameworks are stuffed with shared libraries that make it simple to integrate protocols and cut down on development time.

Data Science

We are all aware of the market's high demand for Data Science expertise across various sectors including manufacturing, eCommerce, and IT industries. Pandas, TensorFlow, NumPy, and other libraries enable it to extract useful information from the data. A Data Scientist can further concentrate on data visualisation using graphs and charts thanks to libraries like Matplotib and Seaborn. Any data science practitioner should be familiar with Python, and that is not an exaggeration.

Artificial Intelligence and Machine Learning

Artificial Intelligence is one of Python's most significant applications. It happens because Python is a reliable language that can perform the computations needed to create Machine Learning models. Applications involving machine learning can benefit from its libraries, which include Keras, Pandas, NumPy, and others. Additionally, it is utilised in a variety of AI solutions, including sophisticated computing, picture recognition, data processing, and others.

Enterprise Applications

Enterprise Applications serve the needs of an organisation rather than focussing on a single user. Python is used to create enterprise applications because it is a powerful language that can manage many simultaneous database requests. Despite the fact that Python's use differs from business to business, its essential features like readability, functionality, and scalability are constant. One of the most notable uses of Python is in enterprise applications. Platforms like Tryton and Odoo aid in the creation of these enterprise applications.

Web Scraping Applications

It refers to the massive amounts of data that businesses scrape in order to extract customer information and make profitable judgements. Python is used to create online scraping apps using tools like PythonRequest, Selenium, and MechanicalSoup. Python excels in creating programmes that can process enormous amounts of data, making it the clear champion in the field of web scraping.

Game Development

Python has often shown that it is capable of making a significant contribution to the game industry. In the early 2000s, one of the most well-known video games was Battlefield 2. Python was used in the programming that created it. Python's leading game development frameworks include Pygame, PyKyra, Pyglet, PyOpenGL, Kivy, Panda3D, and Cocos2D. 

Software Development

The usage of Python by Software Developers is one of its main applications. Python makes it easier to design sophisticated applications. It is utilised for testing, build control, project management, and support programming.

Real-World Application of Python

There are numerous Python websites and applications that are successfully operating online. Discussed below are a few Python-based real-world applications. 

• Uber: Uber, the well-known mobility service startup was uncertain between Python and Ruby while choosing a programming language. They chose Python for the frontend and backend code and large-scale mathematical computations. The backend of Uber makes predictions about traffic, supply and demand, arrival times and approximate travel times. 
• Reddit: Reddit uses Python because it is simple to read and write and along with it, it also offers a wide variety of pre-built libraries. Reddit employs Javascript and Go apart from Python. 
• Instagram: Instagram uses Python as its primary programming language. Though Instagram's underlying stack has undergone several changes, the app wouldn't exist without Python. Instagram was created using the Python web framework Django. In 2023, the platform for sharing viral videos and images had approximately 1.35 billion members worldwide; by 2025, that number is anticipated to rise to 1.44 billion. Instagram engineers are developing static sort checkers in Python for server analysis due to the growing user base. 
• Netflix: Since its inception, Netflix operated as a DVD-by-mail service which later has grown into a major video streaming service today, with millions of paid subscribers worldwide. The robust analytics and recommendation engine of Netflix is one of the factors contributing to its success. Using information about the types of content that customers watch, the firm makes recommendations to them. Python is the foundation of the analytics and recommendation engine. It is a very user-friendly programming language that helps in resolving challenging networking issues. Python is used throughout Netflix's entire lifecycle of content, including machine learning recommendation algorithms and security features. Python libraries are used by developers for statistical analysis.
• Youtube: YouTube is the second-largest search engine behind Google and serves as a platform for streaming videos on the internet. Monthly active viewers on YouTube number in the billions. In addition to being a search engine, YouTube is a well-known social media website. Python is the only language used in YouTube's code. The platform's code is written in a way that makes downloading, uploading, and sharing videos simple. 
• Quora: A forum for asking and answering questions, Quora is primarily designed for professionals looking for information on a variety of topics. Nearly 300 million people use Quora. On Quora, experts not only answer questions but also offer their personal experiences. For the creation of the platform, Quora's developers experimented with a number of different programming languages. Given Python's incredible rate of development, it was Python that best suited them. 

All of the top worldwide technology leaders favour the Python programming language because of its solid, dependable, and engineering enterprise-level applications. Python is used to construct the majority of websites and apps since the coding is straightforward and easy. Making a fantastic profession with a competitive salary is possible by learning Python. One can consider making their career in Python, as it is being used now more than ever across fields in Data Science and Artificial Intelligence, offering some of the best salaries in the market right now.