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Home > Blog > Tutorials > Python Tutorial For Beginners > Python Version History

Python Version History

By Lithin Reddy | Last updated on October 6, 2025 | 87089 Views
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  • Python Tutorials

    • Python Tutorial For Beginners
    • Introduction and History of Python
    • Python Download – How To Install Python [Easy Steps]
    • Python Version History
    • What is Python Programming Language?
    • Advantages and Disadvantages of Python
    • Python Data Types
    • Python Arrays – The Complete Guide
    • Strings in Python
    • Python Numbers – Learn How to Create Prime Numbers, Perfect Numbers, and Reverse Numbers in Python
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    • Python for Loops – A Step-by-Step Guide
    • Python If Else Statements – Conditional Statements with Examples
    • Python Syntax: A Guide To Writing Basic Python Code
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    • File Handling in Python
    • Introduction to Python Modules
    • Python Operators
    • Enumerate() in Python – A Detailed Explanation
    • Python Set – The Basics
    • Python Datetime – A Guide to Work With Dates and Times in Python
    • Python Lists – A Complete Guide (With Syntax and Examples)
    • How to Install Pip in Python
    • What are comments in python
    • Tokens in Python – Definition, Types, and More
    • How to Take List Input in Python – Python List Input
    • Tuples in Python
    • Python Function – Example & Syntax
    • What is Regular Expression in Python
    • Python Modules, Regular Expressions & Python Frameworks
    • How to Sort a List in Python Without Using Sort Function
    • How to Compare Two Strings in Python?
    • What is Type Casting in Python with Examples?
    • List vs Tuple in Python
    • Identifiers in Python
    • A Complete Guide to Data Visualization in Python
    • What is Recursion in Python?
    • Python Lambda Functions – A Beginner’s Guide
    • List Comprehension in Python
    • Python Built-in Functions
    • Dictionaries in Python – From Key-Value Pairs to Advanced Methods
    • Python Input and Output Commands
    • Web Scraping with Python – A Step-by-Step Tutorial
    • Exception Handling in Python with Examples
    • Numpy – Features, Installation and Examples
    • Python Pandas – Features and Use Cases (With Examples)
    • SciPy in Python Tutorial
    • Introduction to Matplotlib in Python
    • Scikit-Learn Cheat Sheet: Python Machine Learning
  • Python Tutorials

    • Python Tutorial For Beginners
    • Introduction and History of Python
    • Python Download – How To Install Python [Easy Steps]
    • Python Version History
    • What is Python Programming Language?
    • Advantages and Disadvantages of Python
    • Python Data Types
    • Python Arrays – The Complete Guide
    • Strings in Python
    • Python Numbers – Learn How to Create Prime Numbers, Perfect Numbers, and Reverse Numbers in Python
    • Python Classes and Objects
    • Python for Loops – A Step-by-Step Guide
    • Python If Else Statements – Conditional Statements with Examples
    • Python Syntax: A Guide To Writing Basic Python Code
    • Python JSON – Parsing, Creating, and Working with JSON Data
    • File Handling in Python
    • Introduction to Python Modules
    • Python Operators
    • Enumerate() in Python – A Detailed Explanation
    • Python Set – The Basics
    • Python Datetime – A Guide to Work With Dates and Times in Python
    • Python Lists – A Complete Guide (With Syntax and Examples)
    • How to Install Pip in Python
    • What are comments in python
    • Tokens in Python – Definition, Types, and More
    • How to Take List Input in Python – Python List Input
    • Tuples in Python
    • Python Function – Example & Syntax
    • What is Regular Expression in Python
    • Python Modules, Regular Expressions & Python Frameworks
    • How to Sort a List in Python Without Using Sort Function
    • How to Compare Two Strings in Python?
    • What is Type Casting in Python with Examples?
    • List vs Tuple in Python
    • Identifiers in Python
    • A Complete Guide to Data Visualization in Python
    • What is Recursion in Python?
    • Python Lambda Functions – A Beginner’s Guide
    • List Comprehension in Python
    • Python Built-in Functions
    • Dictionaries in Python – From Key-Value Pairs to Advanced Methods
    • Python Input and Output Commands
    • Web Scraping with Python – A Step-by-Step Tutorial
    • Exception Handling in Python with Examples
    • Numpy – Features, Installation and Examples
    • Python Pandas – Features and Use Cases (With Examples)
    • SciPy in Python Tutorial
    • Introduction to Matplotlib in Python
    • Scikit-Learn Cheat Sheet: Python Machine Learning
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Python has evolved over time, with numerous updates and releases since its introduction in the late 1980s. With every update, this flexible programming language’s functionality and efficiency are enhanced, and known bugs are fixed, making it much more user-friendly. In the following pages, we highlight the major Python’s version history from Python 0.9.0 till date.

Table of Content

  • How to Check Python Version?
  • Different Python Versions
  • Comparisons between the Python Versions
  • How do I upgrade to a newer version?
  • What if Your Computer has Multiple Python Versions?
  • Conclusion

How to Check Python Version?

1. How to Check Python Version in Windows?

To verify the version of Python installed on your computer, follow these steps for Windows:

    • Open the Command Prompt (type “cmd” in the Start menu).
    • Type python –version or python3 –version and hit Enter.
    • The version of Python will appear on the screen.

If that does not work for you, it means Python is not installed. You can get it from python.org.

2. How to Check Python Version in Mac?

To verify the version of Python installed on your computer, follow these steps for Mac:

    • Start by Launching Terminal (Find it in Applications > Utilities or search with Spotlight)
    • Type “python –version” or “python3 –version” and hit Enter
    • You will then notice the version number of Python.

If it isn’t quoted, then you probably don’t have it installed, so go ahead and get the software from python.org.

3. How to Check Python Version in Linux?

To verify the version of Python installed on your computer, follow these steps for Linux:

    • Open a terminal.
    • Type python –version or python3 –version and press Enter.
    • It will display Python’s version.

If the version is not displayed, your system may not have Python installed. Install it using the package manager (eg: “sudo apt install python3” on Ubuntu).

Different Python Versions

1. Python 1.0 (January 26, 1994):

    • The first official Python language version is Python 1.0.
    • Such constructs refer to very basic building blocks such as functions, modules, and exception handling.
    • Although its library support was small and limited, it provided groundwork that will, in the future, serve as a stepping stone for Python’s growth.

2. Python 2.0 (October 16, 2000):

    • Python 2.0 introduced list comprehensions and other improved garbage collection features.
    • It ensured backward compatibility with Python 1.0, allowing existing users to transition more easily.
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3. Python 2.7 (July 3, 2010):

    • Final version in the Python 2.x series, Python 2.7:
    • It has been used widely for many years but finally ended in 2020.
    • Improved syntax capabilities, which involves stronger error management and the enhancement of string formatting.

4. Python 3.0 (December 3, 2008):

    • The Python 3.0 launches were milestones in consistent simplification and removal of redundancy in the language.
    • It included default Unicode support and also eliminated some anomalies from Python 2.

5. Python 3.5 (September 13, 2015):

    • Python 3.5 introduced the ‘async’ and ‘await’ keywords, empowering asynchronous programming through the ‘asyncio’ library.
    • It bolstered type hinting with ‘TypeVar’ and ‘Generic,’ promoting higher code quality.

6. Python 3.8 (October 14, 2019):

    • Python 3.8 introduced the ‘walrus operator’ (:=), allowing assignment expressions within more significant expressions.
    • It featured enhancements in f-strings, type hints, and the ‘math’ library.

7. Python 3.9 (October 5, 2020):

    • Python 3.9 unveiled the ‘zoneinfo’ module for time zone management and the ‘peg_parser’ module for parsing tasks.
    • It streamlined dictionary merging and introduced new syntax elements like ‘union’ operators for dictionaries.

8. Python 3.13 (October 7, 2024)

    • The new Interactive Interpreter has been made more user-friendly for coding by incorporating multi-line editing and color support.
    • Experimental Free-Threaded Mode: This mode allows Python to run without the Global Interpreter Lock (GIL) for improved performance in multi-threading.

Python’s evolution continues with regular updates, each aiming to refine the language’s utility, performance, and feature set. Users are encouraged to transition to Python 3.x, as Python 2.x is no longer actively maintained. It’s important to note that developments beyond September 2021 may have introduced new Python versions and enhancements.

Comparisons between the Python Versions

Let’s provide a comparison of the mentioned Python versions:

1. Python 1.0 vs. Python 2.0

Feature Python 1.0 Python 2.0
Release Type First official release Introduced new features and improvements
Key Features Basic programming constructs List comprehensions, improved garbage collection
Feature Set Minimal features compared to modern Python Still minimal compared to modern Python versions
Backward Compatibility As it was the first version of Python language, it was not backward-compatible Backward compatible with Python 1.0 for easier migration

2. Python 2.7 vs. Python 3.0

Feature Python 2.7 Python 3.0
Release Type Final release in the Python 2.x series Major release with significant changes
Usage Widely used for many years Introduced improvements for language consistency
Key Features Continued support for Python 2.x Default Unicode support removed idiosyncrasies

3. Python 3.5 vs. Python 3.8

Feature Python 3.5 Python 3.8
Key Features Introduced asynchronous programming with async and await Introduced the ‘walrus operator’ (:=) for concise assignments
Focus Area Asynchronous capabilities Enhanced f-strings for better string formatting
Common Improvements Improved type hinting and introduced syntax enhancements Improved type hinting and introduced syntax enhancements

4. Python 3.9 vs. Python 3.13

Feature Python 3.9 Python 3.13
Performance Standard performance with no significant speed boosts 10%–60% faster in Python 3.11; an additional 5% boost in 3.12
New Syntax Features Lacks structural pattern matching Includes match and case statements for pattern matching
Error Reporting Basic error messages Improved error messages with detailed and helpful debugging information
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How do I upgrade to a newer version?

1. Windows

Use the widget (Windows Package Manager) command to upgrade Python:

Update the Python package: “winget upgrade –id Python.Python.3”

2. MacOS

  1. Homebrew Method (recommended): Install Homebrew in your system if you don’t have it:
  2. Code:  /bin/bash -c “$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)”
  3. Run this command to upgrade your Python version:
brew update
brew upgrade python

3. LinuxOS

  • For Ubuntu/Debian:
    sudo apt update
    sudo apt install python3
  • For Fedora/RHEL:
    sudo dnf install python3

What if Your Computer has Multiple Python Versions?

Have one or two versions of Python installed on your computer? Suppose a particular project requires a specific version of Python, and you need to work on it. That’s when the actual confusion starts. Because of the multiple Python versions on the computer, their dependencies might be mismatched.

Install virtual environments such as Venv or Virtualenv to avoid such a scenario. They will help you create separate environments for each project with a different Python version and dependencies. You can also use a tool called Pyenv to manage multiple versions of Python on your computer and make it easy to switch between different versions.

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Conclusion

The versions show Python’s progress over the past, which is evident in each new version, improving usability, performance, and modern features. Users should migrate to the latest version of Python, the 3.x version, for continued support and access to new features and improvements.

Once you finish this tutorial, you can check out the list of Basic Python Interview Questions prepared by the experts, which will help you crack any Python interview. If you are interested in doing an end-to-end Python Certification Course, Intellipaat has curated just the right course to gain all of the requisite skills in Python programming.

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About the Author

Lithin Reddy
Lithin Reddy
Data Scientist | Technical Research Analyst - Analytics & Business Intelligence

Lithin Reddy is a Data Scientist and Technical Research Analyst with around 1.5 years of experience, specializing in Python, SQL, system design, and Power BI. Known for building robust, well-structured solutions and contributing clear, practical insights that address real-world development challenges.

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