History of Python


Python is the most popular programming language among all. Millions of software developers use Python. Learn here, The Most Popular Programming Languages In the World. The main reason for the rise of Python is the need for data science and machine learning in recent years. 
This article is an overview of Python with its history. 
Data Science, Machine Learning, Artificial Intelligence-AI, and IOT are some of the computing fields where Python is widely used. There are many popular web applications like YouTube, Quora, Google, Mozilla firefox that is written in Python. 

Python Journey from 1991 to Present

Python is a high-level programming language for general use. It was invented by Guido van Rossum in 1991 and developed at Python Software Foundation. Compared to other programming languages python is easy to read and understandable. It was finally launched in 1991, at that time it had to provide classes with inheritance, a wide range of data types, exception handling methods and functions with more than enough capacity and it is completely user-friendly.
Python has vast varieties of versions list history from 1991till until March 2019.
Let’s have a quick look,
  • Python 1.0: Jan 1994
  • Python 1.5: Dec 1997
  • Python 1.6: Sep 2000
  • Python 2.0: Oct 2000
  • Python 2.1: Apr 2001
  • Python 2.2: Dec 2001
  • Python 2.3: Jul 2003
  • Python 2.4: Nov 2004
  • Python 2.5: Sep 2006
  • Python 2.6: Oct 2008
  • Python 3.0: Dec 2008
  • Python 3.1: Jun 2009
  • Python 2.7: Jul 2010
  • Python 3.2: Feb 2011
  • Python 3.3: Sep 2012
  • Python 3.4: Mar 2014
  • Python 3.5: Sep 2015
  • Python3.6: Dec 2016
  • Python 3.7: Jun 2018
  • Python 3.7.3: Mar 2019
  • Python 2.x and Python 3.x are the most common versions. From these Python 3.7.3 is the latest version.
Python became an inspiration for many programming languages like Ruby, Julia, Boo, CoffeeScript, Groovy, ECMAScript, Swift, Boo, GO, etc.
Not only these but also just because of the various purposes of Python like elegance and simplicity, developing and scripting and software testing.
Top technology organizations: Google, HP-Hewlett-Packard, IBM, Mozilla, Cisco, Quora, DropBox and many more have implemented Python to their systems.

About Python

  • Python is totally straight forward language for syntax. It can be your first programming language.
  • Python is an Object-Oriented Language like C, C++; where every variable considered as an Object.
  • Python is Case Sensitive Language.
  • Python can be dynamically typed, means the user doesn’t need to define the Datatype while declaring the variable
  • Curly braces are omitted with indentations (White Space). It improves the code readability.
  • Python code doesn’t need a datatype declaration because it’s run by the interpreter, so it’s also called as an interpreted language.

Features of Python

  • Code readability is quite good for the end-user while there is a number of lines; it’s understandable to anyone.
  • Automatic memory management: there is no need to release the garbage blocks, like C language.
  • There is no need to declare any datatype.
  • Python has a large library where in-built functions and modules help the new user.
  • Structural, Procedural, Object-Oriented, etc paradigms can be used with its programming. So, we can be called it the Multi-Paradigms Programming Language.
  • With the help of Python Interactive: Python Shell; the user can easily check Python commands.
  • Python is Platform Independent it means the user can work on Python on different Operating Systems.

Reasons for Python Language's Demand in Techworld

The main two terms are responsible for increases its demand: Machine Learning and Artificial Intelligence. As we know, if we are a beginner or an expert, we eagerly want to get learn about these upcoming trends of technology. Apart from these there are few major points also involved in the demand list of Python:
  • Vast Community: It's the cutting-edge trending Programming Language. It can be your first programming language.
  • Data Science: PyBrain, PyMYSQL, NumPy are an example of data science frameworks to make Python language scalable and easier.
  • Machine Learning: e.g. Google's Search and Uber are completely running on algorithms.
  • Simplicity and Web development: e.g. YouTube, NetFlix, Instagram, Spotify, Google, Facebook, etc. Python codes are robust and versatile.
  • Libraries and Framework: Python frameworks are secured and fast. e.g.: Flask and Django
  • Multipurpose: There is no use of any Database to fetch data, Python has an in-built syntax for all types of Databases. e.g. Python API PySpark and NLTK: for Natural Language Processing
  • Jobs, Salary, and Growth: highly paid jobs opportunities in Data Science, AI, Machine Learning and Web Development

In Python Library what are the major listings available?

  • Automation
  • Databases
  • Documentation
  • Graphical User Interfaces
  • Image Processing
  • IoT: Internet of Things
  • Multimedia
  • Networking
  • Scientific Computing
  • System Administration
  • Test Frameworks
  • Text Processing


In this article, we learned about the Python for the beginners or for the Professionals as well as the history, the core of the Python, Purposes, and features at the basic level. For learning purposes, we will go through the latest version of Python 3, which includes all the new features and it is user-friendly rather than previous versions. In fact, you don’t need to check the earlier versions.