Python is a general-purpose programming language developed by Guido Van Rossum in 1989. It appeared first in 1991. Python is a dynamically typed garbage-collected programming language that supports various programming paradigms such as object-oriented, procedure-oriented, etc. Earlier, developers did not prefer to code in Python. After the community updated some outstanding features like the Unicode system, The need for Python has increased. Python is a robust language, and it is gaining popularity among programmers from different sectors. We can say that learning python is needed for all programmers. As we all know, Python is the world’s most used programming language. Some developers say that Python is the future. But what features of Python make it this popular? We will see the Python applications used in day-to-day life in this article.  

1. Machine learning and artificial intelligence

Talking about machine learning and artificial intelligence, both need a stable, secure, flexible language and have a lot of tools. Python has all the qualities that machine learning and artificial intelligence needs. Python supports machine learning and artificial intelligence without any exceptions. That’s the main reason for Python’s popularity in data science professionals.

Python has provided many libraries and packages that are used for machine learning and artificial intelligence. Some of them are SciPy, TensorFlow, Scikit-learn, etc. Apart from this, Pytorch, Caffee, etc., are used for AI and ML projects.

2. Data science and data visualization

Data science is the most demanding skill in the market right now. Because it is the key to understand the thinking of people and what they like, this is where Python comes into the picture. The vast libraries support such as Pandas, NumPy, TensorFlow, etc., helps to understand the data and extract the accurate output. The libraries like Matplotlib, seaborn, etc., help the professionals in data visualization. 

3. Web development

Python provides a large set of frameworks that supports web development. The best features of python frameworks are, they offer high-security scalability and flexibility. Some of the Python frameworks are Flask, Django, Pyramid, etc. These frameworks come with standard libraries and modules that simplify things like internet protocols, content management, database operations, and interfacing.

4. Desktop application development

We can also develop a desktop application in Python. Python also offers many libraries to build a desktop application. The available GUI tools are PyQt, Tkinter, PythonGTK+, kivy, etc. Using these frameworks, we can develop stable and user-friendly desktop applications for operating systems like Windows and Linux.

5. Game development

Python also supports game development. We can easily develop games using the framework and libraries provided by Python. For game development frameworks are PySoy, a 3D game engine that supports Python version 3 and PyGame. These 2 are the most popular libraries in Python for game development. 

Some popular games developed in Python are World of tanks, Civilization-IV, Vega strike, Battlefield 2, etc. Apart from game development, Python is used for scripting language as well as game engines. 

6. Image processing

The need for machine learning is increasing. Along with that, deep learning and neural networks come into play their role. Due to these reasons, the role of image processing is increased. To fulfil the demand for the above things, Python offers a wide range of libraries that supports image processing. The libraries and modules make the task simple and easy to write code.

Python’s popular image processing libraries are OpenCV, Scikit-Image, and Python Imaging Library (PIL).

7. Operating Systems

We have heard that operating systems are developed using core programming languages like C. But do you know? Using Python, we can build operating systems. Some of the operating system’s features are built using Python, like Linux-based Ubuntu’s Ubiquity installer. And Fedora and RedHat Enterprise’s Anaconda installer. Most of the time, Python and C language are used together for developing operating systems.

8. Internet of things (IoT)

Python is also able to run embedded hardware systems. Embedded systems are small computers that perform specific operations. Using a Raspberry Pi, Python can turn any object into an electronic gadget. Developers can turn any electronic gadget into a smart device using microcontrollers like Arduino and raspberries PI. There are more requirements for IoT devices such as robots in product-based companies. These robot’s code is most of the time written in Python. The robots are fully automated and do specified work accurately.

9. Software development

Using Python, we can develop not only web applications or games but also we can develop software that is for standalone systems or client-server systems. Python offers excellent security, scalability, stability, quick execution, compatibility, etc., features for application development. This is the main reason for its popularity. Software developers prefer to build controls, testing, and management. There are built-in tools in Python such as roundup, buildbot, Scons, Allura, etc.

10. Web scraping

Python is highly used to extracting data from websites and web pages. The extracted data is used for real-world processes like jobs, research, comparison, etc. PythonRequest and selenium are popular tools for web scraping provided by Python. The simple structure and understandable concept of Python can give you a large amount of data.


After reading the above content, we can say that Python can handle all the requirements for all types of development: IT industry and mechanical, Automation, robotics, etc. From web development to software development and from data science to artificial intelligence. Everything can build in Python. The reason behind its popularity.