Introduction To Python Programming Language

Introduction To Python Programming Language


Python is more than just a programming language it is also a great place to begin if you just starting to code. With the popularity and versatility that python bags no wonder it is a great time to learn python programming.

Python is the fastest-growing language in terms of developers, libraries, applications that it can be used for. It could be machine learning, artificial intelligence, web development anything that you could think of, python has got you covered.

What is python?

Python is a general-purpose programming language which is high level, interpreted language with easy syntax and dynamic semantics. It was created by Guido Van Rossum in 1991. Now with the rise of machine learning and artificial intelligence python has come into the spotlight because it makes the work much more productive and much easier.

Why python is popular?

  • Easy – Python’s easy syntax and high-level feature make it one of the best languages for anybody to get started with programming.
  • Open source – Python is an open-source language which makes it free for everyone to use.
  • Applications – Python can be used for desktop, web, mobile application development.
  • Library and Support – Python has a great community who constantly makes libraries and helps those in need.

Scope of Python:

  • Game development (Ex : Pygame) – Pygame is a cross-platform set of Python modules intended for composing computer games. It incorporates computer illustrations and sound libraries intended to be utilized with the Python programming language.
  • Web Framework (Ex : Django) – Django is a Python-based free and open-source web system that follows the model-template-view (MVC) building design. Django’s essential objective is to facilitate the formation of complex, database-driven sites.
  • Natural Language Processing (Ex : nltk) – NLTK (Natural Language Toolkit) is one of the most impressive NLP libraries which contains bundles to cause machines to comprehend human language and answer to it with a proper reaction.
  • Molecular Biology (Ex : Biopython) – The Biopython Project is an open-source tool of non-business Python instruments for computational biology and bioinformatics.
  • Scientific Computing (Ex : NumPy) – Numpy is a basic package for scientific computing with Python.
  • GUI (Ex : Tkinter) – Tkinter is the standard GUI library for Python. Python, when joined with Tkinter, gives a quick and simple approach to make GUI applications.
  • Data Visualization (Ex : MatplotLib) – Matplotlib is an extensive library for making static, animated, and intelligent representations in Python.

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