Python Version Release Dates

In this tutorial, we will learn about the Python Version Release Dates, Features of python and Where Python is use.

Python Version Release Dates

• Implementation start – December, 1989
• Internal releases at Centrum Wiskunde & Informatica – 1990

A Python 0.9.0 – February 20, 1991

• Python 0.9.1 – February, 1991
• Python 0.9.2 – Autumn, 1991
• Python 0.9.4 – December 24, 1991
• Python 0.9.5 – January 2, 1992
• Python 0.9.6 – April 6, 1992
• Python 0.9.8 – January 9, 1993
• Python 0.9.9 – July 29, 1993

A Python 1.0 – January 1994

• Python 1.2 – April 10, 1995
• Python 1.3 – October 12, 1995
• Python 1.4 – October 25, 1996
• Python 1.5 – December 31, 1997
• Python 1.6 – September 5, 2000

The Python 2.0 – October 16, 2000

• Python 2.1 – April 15, 2001
• Python 2.2 – December 21, 2001
• Python 2.3 – July 29, 2003
• Python 2.4 – November 30, 2004
• Python 2.5 – September 19, 2006
• Python 2.6 – October 1, 2008
• Python 2.7 – July 4, 2010

The Python 3.0 – December 3, 2008

• Python 3.1 – June 27, 2009
• Python 3.2 – February 20, 2011
• Python 3.3 – September 29, 2012
• Python 3.4 – March 16, 2014
• Python 3.5 – September 13, 2015
• Python 3.6 – December 23, 2016
• Python 3.7 – June 27, 2018
• Python 3.8 – October 14, 2019
• Python 3.9 – October 05, 2020
• Python 3.10 – October 10, 2021
• Python 3.11 – October 24, 2022

Features of python

• Easy to Use
  • It is a programmer friendly; it contains syntaxes just like English commands.
  • Uses an elegant syntax, making the programs you write easier to read.
• High Level Language
  • Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
• Expressive Language
  • The code is easily understandable.
• Interpreted
  • The execution done in line by line format.
• Platform Independent
  • We can run this python code in all operating systems.
• Open Source
  • Python is free of cost, source code also available.
• Object-Oriented language
  • Python supports object-oriented programming with classes and multiple inheritance
• Huge Standard Library
  • Code can be grouped into modules and packages.
• GUI Programming
  • Graphical user interfaces can be developed using Python.
• Integrated
  • It can be easily integrated with languages like C, C++, JAVA etc.
• Extensible
  • Is easily extended by adding new modules implemented in a compiled language such as C or C++

Where Python is Use

• Web Technology uses PYTHON with django
• Mobile Apps uses PYTHON with FLASK
• Big Data Hadoop uses PYTHON
• Data Science Analytics uses PYTHON
• Amazon Web Services uses PYTHON
• Automation Tools DevOps uses PYTHON
• Reporting Tableau uses PYTHON
• Scripting and GUI Apps Uses PYTHON
• Scientific Applications uses PYTHON with Numpy, Scipy
• Gaming, Networking, Embedded Systems, AI

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