WHAT IS PYTHON USED FOR? TOP 10 REAL-WORLD APPLICATIONS OF PYTHON IN 2022
An object-oriented programming language can model real-world data, while a functional language focuses on functions (code that can be reused). Python supports both object-oriented and functional programming features. It is portable and highly flexible, meaning, a Python code written for a Windows machine or a Linux machine can also run-on iOS, and vice versa you don’t need to make any alterations in the code. This article lists the top 10 real-world applications of Python in 2022.
Data Science Solutions
A python is also a perfect tool for shaping data-driven solutions such as Spotify. The app offers an exquisite music streaming experience enabled by features like Discover playlists and smart Radio channels with Python-driven data insights.
Scientific and Numeric Applications
Python has become a crucial tool in scientific and numeric computing. It provides the skeleton for applications that deal with computation and scientific data processing. Apps like FreeCAD (3D modeling software) and Abaqus (finite element method software) are coded in Python.
For every business, web development is important. Python offers numerous options for web development. For instance, you have Django, Pyramid, Flask, and Bottle for developing web frameworks and even advanced content management systems like Plone and Django CMS. These web frameworks are packed with standard libraries and modules, which simplify tasks like content management, database interaction, and interfacing with internet protocols like HTTP, SMTP, XML, JSON, FTP, IMAP, and POP.
Python comes loaded with many useful extensions (libraries) that come in handy for the development of interactive games. For instance, libraries like PySoy (a 3D game engine that supports Python 3) and PyGame are two Python-based libraries used widely for game development. It is the foundation for popular games like Battlefield 2, Frets on Fire, World of Tanks, Disney’s Toontown Online, Vega Strike, and Civilization-IV.
Apart from game development, game designers can also use it for developing tools to simplify specific actions such as level design or dialog tree creation, and even use those tools to export those tasks in formats that can be used by the primary game engine. Also, Python is used as a scripting language by many game engines.
Over the years, Python’s design and module architecture has been the inspiration behind the development of many new programming languages such as Boo, Swift, CoffeeScript, Cobra, and OCaml. All of these languages share numerous similarities with Python on grounds like object model, syntax, and indentation.
Machine Learning Applications
Python, with a simpler syntax than C++ or Java, is preferred for building machine learning applications. Its capacity for handling large amounts of data is commendable. Moreover, Scipy and Numpy are libraries used for scientific and technical computing. Pandas, a data manipulation tool, when used along with it, helps in data analysis. Pandas and Scikit, which are used for building and using machine learning apps, are freely available and are, therefore, very popular.
Image Processing and Graphic Design Applications
Alongside all the uses mentioned above, Python also finds a unique use case in image processing and graphic design applications. The programming language is used globally to design and build 2D imaging software like Inkscape, GIMP, Paint Shop Pro, and Scribus. Also, Python is used in several 3D animation packages such as Blender, Houdini, 3ds Max, Maya, Cinema 4D, and Lightwave, to name a few.
Yes, Python is the secret ingredient behind many operating systems as well, most popularly of Linux distributions. Linux-based Ubuntu’s Ubiquity Installer and Fedora and RedHat Enterprise’s Anaconda Installer are coded in it. Even Gentoo Linux leverages Python Portage (package management system). Usually, Python is combined with the C programming language to design and develop operating systems.
Web Scraping Applications
A python is a nifty tool for extracting voluminous amounts of data from websites and web pages. The pulled data is generally used in different real-world processes, including job listings, price comparison, R&D, etc. BeautifulSoup, MechanicalSoup, Scrapy, LXML, Python Requests, Selenium, and Urllib are some of the best Python-based web scraping tools.
Finance Fintech Platform
There could be no better application than analyst model training with Python. Leading finance banks like Citigroup and JP Morgan Chase use the Python Fintech platform to train data analysts and trading-specific algorithms for accurate risk assessment.