Real-world Applications of Python You Must Know

Python is a pervasive, object-oriented, popular programming language built for several purposes. It includes dynamic typing, high-level data structure, dynamic binding, and other exciting features that make this programming language useful for complex application development. 

Python can make system calls to almost all operating systems and run code written in C++ or C. It has emerged as a universal language due to its ability to run on nearly every system architecture. 

Wondering how to use Python on MacBook? You can download the current version of the programming language by launching Terminal from Utilities > type python –version > press Return. You can even visit python.org/downloads to download the package file on your system whenever you need. 

TextEdit, Mac’s default open-source word processor and text editor, opens files with .py extensions. So you can use this to edit Python files or install CodeRunner and other third-party editors. 

You can go to the Microsoft Store to install Python. After the installation process, open Windows PowerShell by clicking the Start menu and then enter python –version. 

As your text editor, you can install VS Code and establish a seamless workflow between the command line and the code editor. 

Python is used in game development, especially interactive games. PySoy (3D game engine supporting Python) and PyGame (offering a library and functionality for game development) are libraries that help develop games. 

Vega Strike and Civilization-IV are examples of games that are built using Python. 

One of the most in-demand skills in IT, eCommerce, and manufacturing is data science. This is where Python comes in handy. 

The programming language offers multiple libraries like TensorFlow, Pandas, NumPy, etc. These libraries help to extract valuable information from the data. 

Seaborn, Matplotib, and similar libraries further allow a data science professional to concentrate on data visualization through charts and graphs. 

Therefore, Python is the first thing that data scientists must learn. 

Artificial Intelligence and Machine Learning have whipped up a storm and are regarded as the most promising careers in the future. Computers are taught according to past experiences via stored data or the creation of algorithms. This makes systems learn by themselves without the need for human intervention. 

Python is the programming language chosen by everyone because libraries exist that support these domains, such as Scikit-Learn, Pandas, etc. 

Python is the go-to tool for web developers because the programming language offers several options for web development. For example, there are Flask, Pyramid, Django, and Bottle for developing web frameworks. In addition, there are also advanced CMS’ like Django CMS and Plone. 

Packed with modules and standard libraries, these web frameworks simplify tasks like database interaction, content management, and interfacing with Internet protocols like POP, XML, HTTP, IMAP, SMTP, and JSON. 

Furthermore, Python web frameworks are used by web developers because they are well-known for their versatility, scalability, and security. Besides this, Python’s Package Index is packed with valuable libraries like Feedparser, Twisted Python, Requests, Paramiko, and BeautifulSoup. 

The web development process is made effortless with the use of Python. Moreover, developers can build Python applications using its characteristics, such as convenience in development, wonderful visualization, quick development process, and augmented security. 

Python apps and packages simplify the process of software development. There’s nothing that Python cannot do - from developing web and desktop applications to developing complicated apps involving numeric and scientific computing. This is the primary reason why software developers use Python as a support language for management, testing, and build control. 

For example, SCons is specifically designed for build control, Apache Gump, and Buildbot. It allows for automated testing and continuous compilation, and Trac and Roundup do a fantastic job of project management and bug tracking. 

Python is perfect for software development and supports visualization and data analysis. Hence, the language simplifies the process of creating bespoke solutions minus time investment and extra effort. 

Netflix, Reddit, Google, and other famous applications use Python. The features offered by Python for software development are enhanced code readability and usability, high compatibility, in-built frameworks and libraries to streamline development, platform independence, etc. 

The programming language also offers augmented features that work swiftly with evolving technologies like ML and AI. 

If you did not know, Python is the mystery ingredient behind several operating systems, such as the Linux distributions. This is because the language combined with the C programming language is perfect for developing and designing operating systems. 

Linux-based Ubuntu’s Ubiquity Installer and Fedora, along with Red Hat Enterprise’s Anaconda Installer, are coded in this programming language. 

Python Portage is also leveraged by Gentoo Linux. 

There are some real-world applications of Python, but there are several more. Python has infiltrated every aspect of life, including education, gaming, app development, etc.