P scripting on jvm ython is one of the most popular programming languages that is widely used in software development: web applications, mobile applications, game development, desktop apps, automation, and in many others. Developers use Python because it is easy to learn ( tutorial, learn-all ), simple to use, packed with features and supported by a wide range of standard libraries, ext libraries and frameworks .
Why Python is Popular? Because of it's: Readability, Coding Speed, Versatility, Large Community, Great SDKs and Libraries, Cross-Platform Compatibility etc.
Python is a powerful, interpreted, object-oriented programming language, which is very efficient and can run on many different platforms. And also free to download, it integrates well with all types of systems, and increases development speed. Python libraries and packages are used to extend the functionality of the application and used in the fileds like: computer science, data visualization, data analysis, data science, machine learning, etc.


Key Usages of Python

Web Development

Python can be used to create back-end web applications, handle database interactions, and integrate with APIs. A backend framework has ready-made components for developing the server side of websites. It consists of libraries that make the development process stress-free and convenient.
It's also used in enterprise apps - employed in building large-scale business applications, including systems for inventory management and customer relationship management.

Python backend frameworks:   Django,    Flask,   CherryPy,    FastAPI,   web2py,    Jam.py


Mobile Development

Mobile App Development is the process of building an application, for mobile devices such as smartphones and tablets. Python has emerged as a viable option for cross-platform mobile application development to create an efficient and cost-effective mobile apps.

Mobile App Development Frameworks:   Kivy,    BeeWare,   Pyramid,    Falcon,   Flask+Android,    Django+Flutter


Game Development ⇧

Python can be used to develop 2D games, indie titles, educational games, and prototyping. While not ideal for large, performance-intensive AAA games due to its interpreted nature (slower than compiled languages like C++ or C#), Python excels as a beginner-friendly option and a powerful scripting tool for automating tasks, adding game functionality, or testing game ideas quickly.

Game Development Frameworks:   Panda3D,    Godot,   Game Engines,    Pygame,    Pyglet


Desktop GUIs ⇧

Python can be used to develop user-friendly desktop applications with graphical user interfaces. To develop a desktop application, you will need a good framework that can match your qualifications and provide you with the desired performance.

Frameworks for Desktop Applications:   Kivy,    PySimpleGUI,    PyQt,    Tkinter,   wxPython,    PySide,    PyGObject (GTK),    Dear PyGui,    CustomTkinter,    Toga,    Bottle


Automation & Scripting ⇧

Automating tedious manual tasks is a handy use case for Python. Why Python for Automation? Because Python is an interpreted language which means it executes code one line at a time during runtime and it doesn't compile the entire program into machine code beforehand. This feature enables fast testing and development, so there's no need for compilation. The trade-off is that execution can be slower than that of compiled languages.

Core Python Libraries for Automation:  GUI automation with PyAutoGUI,    Pywinauto,   Pywinauto-home   

Full Stack (Web and Test) Automation:   Playwright,    Selenium,    Requests,   BeautifulSoup,    PyBuilder,    Robot Framework,    Pytest,   Lettuce,    Pandas

Email and Web Scraping Automation:   smtplib (email sending),   Scrapy,   curl_cffi,  for web scraping you can also use: requests, BeautifulSoup, Selenium, Playwright,

Production Ready Library:   Advanced Python Scheduler,    Apache Airflow,    others

Automation Libraries (for downloading files, sorting, renaming, QR code generation, currency convertion etc):

Python SCRIPTs: Developers often rely on an assortment of Python scripts to manage and integrate different components of their projects   Windmill,    Wikipedia,    GeoCoder,    SEO analysis,    Time Series Prediction,    RegEx Patterns


Python in Data Science, Machine Learning, genAI, LLM ⇧

In this field, Python is a main player and equips you with the tools to apply it effectively. Go to special corner dedicated to this field here: AI ↷ GenAI ↷ LLM