What do R programmers use Python for

What is Python used for? 10 Tasks and areas of application


Dynamic typing, integrated data structures, powerful libraries, framework and community support - these are just a few of the reasons that make Python an attractive programming language. In this article, I'll introduce you to a few areas where using Python has already excelled.


Python is free and easy to learn. The main features include a high quality of the programming language, as well as dynamic typing and interpretation. This makes it easier to debug bugs and promotes the rapid development of application prototypes.

Python was developed in 1989 by Guido Van Rossum, under the DRY principle - "Don't repeat yourself". In addition, good legibility was a priority.

Let's take a look at the applications directly! 🙂

Python supports cross-platform operating systems, which makes creating applications more convenient. Worldwide known applications such as YouTube, BitTorrent or DropBox use Python to achieve good functionality.

1. Web development

Python is a quick way to build web applications. Why it is like that? The frameworks that Python uses to build applications make it possible. There is general backend logic that these frameworks are built with, as well as a number of libraries that can be used to integrate protocols like HTTPS, FTP, SSL, etc. and even handle JSON, XML, and emails.

Some of the most famous frameworks are Django, Flask or Pyramid. But why do you have to use a framework at all? The security, scalability and convenience they offer is unparalleled when compared to developing a website from scratch.

2. Game development

Python is popular in the development of interactive games. There are libraries like PySoy, a 3D game engine that supports Python 3, or PyGame, a library that offers functionality.

Well-known games like Civilization-IV, Disney's Toontown Online, Vega Strike and many more were created with Python.

3. Machine learning and artificial intelligence

Machine learning and artificial intelligence (AI or AI) are the hot topics of the hour, as they offer promising careers in the future. We let the computer learn based on previous experience and stored data, or we create algorithms that make the computer learn by itself. The programming language that almost everyone chooses for this? Python. Why? Python supports this industry with numerous existing libraries, such as Pandas, Scikit-Learn, NumPy and many more.

Learn the algorithm, use the libraries and you have the solution to your AI problem. Very easily. However, if you want to go the hardcore route, you can just design your own code if that makes a better solution.

4. Data science and visualization

Data is money. If you know how to extract relevant information that will help you better calculate risks, you can increase profits. You can analyze the data, perform various operations and extract the information you need. Libraries like Pandas or NumPy will help you with this.

With the help of data libraries like Matplotlib or Seaborn you can even visualize your data, which can be very helpful when drawing diagrams.

5. Desktop GUI

Python can be used to program desktop applications. User interfaces can be developed using the Tkinter library. Other useful toolkits such as wxWidgets, Kivy and PYGT help you to create applications on different platforms.

Start by creating simple applications like calculators or task apps, and then test your skills on more complicated projects.

6. Web scraping applications

You can use Python to read a large amount of data from websites and then use them in various real processes such as price comparison, job offers, research, development and much more.

There is a library called BeautifulSoup that can be used to retrieve just such data and process it accordingly.

7. Business Applications

Business applications differ from normal applications in that they cover domains such as e-commerce, ERP and many more. The applications must be easily scalable, quickly expandable and easy to read - Python offers all of these functions. Platforms like Tryton can be used for this.

8. Audio and video applications

With Python, you can create applications that can perform multiple tasks at the same time and output media. Many video and audio applications such as TimPlayer and Cplay were developed using Python libraries and offer much better stability and performance compared to other media players.

9. CAD applications

Computer Aided Designing (CAD), or in German, computer-aided design, can be quite a complicated matter, as many things are usually to be done at once. Representation of objects or functions is only the tip of the iceberg. However, Python also makes this easy through the most popular CAD application Fandango.

10. Embedded Applications

Python is based on C. This means that software embedded in C can be easily created with it. This is particularly helpful when running higher-level applications on smaller devices.

The best known embedded application is Raspberry Pi. It uses Python for its data processing. It can be used directly on the computer or embedded in a program to perform high-level calculations.


Python has a wide variety of uses and areas in which it can be used. No matter what industry you are in, Python is always worthwhile. I hope that I was able to explain the applications to you well and that you now know what makes Python different from many other programming languages.