Python is a programming language. It developed by Guido Van Rossum in 1991. Python is an interpreted programming language. It has a readable and easy syntax structure. What is the interpreter? When you write a program with Java programming language. Your code must first be translated into machine language by using a process called a compiler. But python is translated into machine language directly by interpreting the code we write. In this way, we can run the code we wrote in all operating system platforms. Python’s code interpretation causes it to run slower than other languages. We can solve this problem using python’s advanced libraries.

print("Hello World!")
public class HelloWorld{ 
   public static void main(String[] args){ 
      System.out.println("Hello World"); 

Why Python?

  • Python is an object-oriented programming language. Python’s object-oriented structure through we can fast and easily the complex codes write.
  • Python has a simple and readable syntax structure. In this way, you can easily read other developers’ codes.
  • Python has code interpretation feature. It enables us to run our codes on all operating systems.
  • Python is an open-source programming language and you can use python for free in all your projects.
  • Python has a large library infrastructure. You can use these libraries to quickly develop your projects.
  • Many companies around the world use python. You can find many jobs if you learn Python completely.

What Can We Do With Python?

Web Development

You can easily develop web applications with python. Python has two major frameworks to develop web applications. These are Django and Flask frameworks. if you want to develop complex applications, to use Flask doesn’t make sense. But using the Django framework you can develop advanced web applications. Learning the Django framework is more difficult than the Flask framework. 

Game Development

It is possible to make 2d games using Python.  You can use pygame library to make 2d games. Normally, developing 2d games in a python environment may not make much sense. But by using python, we can develop programs with artificial intelligence. We can test these programs with the games we make with the pygame library.

Desktop Applications

Python has two large libraries for developing desktop applications. These are pyqt5 and Tkinter. Normally the qt framework is the c ++ library. But then this library is customized for python. Using Pyqt5, we can develop very extensive desktop applications. The Tkinder library allows us to develop simpler and faster desktop applications.

Mobile Applications

It has a kivy library for developing mobile applications. You can develop basic mobile applications using Kivy.

Artificial intelligence

Artificial intelligence is a rapidly growing area today. The biggest feature that distinguishes Python from other programming languages is that it has extensive artificial intelligence libraries. Thanks to these artificial intelligence libraries, you can develop artificial intelligence applications without writing any code. There are many libraries in this area. These are Sci-kit Learn, Keras, Tensorflow, and Pytorch.

Data Science

Data science is also a rapidly developing field today. Similarly, in this area, python has many libraries. These are Numpy, Pandas, Matplotlib, Seaborn, etc.


It is possible to develop advanced robots using Python. It is possible to develop advanced autonomous robots, self-driving cars, flying cars by using c ++ and python in the robot operating system (ROS), which is an Open Source software.

Computer Vision

Computer Vision is very popular in both robotics and artificial intelligence. Python has the Opencv library for image processing. Opencv is an open-source library developed by Intel.

Python Environments

If you want to develop applications with Python, there are many ide and text editors that support python. These are Pycharm Community Edition, Visual Studio Code, Atom, Sublimation Text, Python Ide, Jupyter Notebook, Google Colab, and Kaggle.

Google Colab and Kaggle are cloud-based development environments. Here you can develop quickly without the need for any python installation. Major artificial intelligence improvements are usually made on Google Colab. If your system is not enough for artificial intelligence projects. You can complete the training of your model, which normally takes hours, by using google colab within minutes.

If you are going to start a programming language for the first time, python will be the most logical choice.