Python Tutorial

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Python Tutorial

Python is high level and an object-oriented programming language , which is used in tasks such as  app development, data analysis, machine learning, web scraping website building and natural language processing. 

This Dutch programmer invented the Python language ‘Guido Van Rossum’. Python was started in 1980 and about a decade later python was launched in 1991. his series was aired in 1969, directed by the Monty Python Group. The name of Python language is not taken from the name of any snake.

Python language has become the most popular programming language in the world today. Python’s syntax and dynamic typing with its interpreted nature make it an easy language For this reason, it is used in the field of scripting and rapid application development.

Why to Learn Python?

Why should you learn python as a programming language? Some of its positive aspects are mentioned below:

Easy to learn and use: Python is easy to learn and use. It is developer friendly and high level programming language. Due to not having many keywords in this language, it can be learned quite easily.

Free and Open Source: Python’s software is distributed for free at the official web address.The source-code is also available. Python’s code can be read or some changes can also be done in it. It is also used commercially. Therefore it is Open Source.

Object-oriented Language: Python supports object oriented language and concepts of classes and objects come into existence.

Cross-platform Language: Python can run on different platforms like Windows, Linux, Unix and Macintosh etc., therefore, we can say that Python is a portable language.

Large Number of Libraries : Python has many libraries so that no specific code has to be written separately.

GUI Programming support: Graphical User Interface can be developed using Python.

Integrated: It can be easily integrated with languages ​​like C, C++, JAVA etc.

Where is Python used?

  • Machine Learning and Artificial Intelligence
  • Data Science and Data Visualization
  • Mobile Applications
  • Desktop GUI Applications
  • Web Scraping Applications
  • Business Applications
  • Computer Science Education.
  • Audio and Video Applications
  • Console-based Applications
  • CAD Applications
  • Embedded Applications
  • Game Development
  • Web Development