Est. 1991 Beginner

Python

A high-level, interpreted programming language known for its clear syntax and emphasis on code readability.

Created by Guido van Rossum

Paradigm Multi-paradigm: Object-Oriented, Procedural, Functional
Typing Dynamic, Strong
First Appeared 1991
Latest Version Python 3.13 (2024)

Python is one of the world’s most popular programming languages, celebrated for its clear, readable syntax that emphasizes code simplicity. Often described as “executable pseudocode,” Python has become the go-to language for beginners and experts alike.

History & Origins

In December 1989, Guido van Rossum, a Dutch programmer working at Centrum Wiskunde & Informatica (CWI) in Amsterdam, began developing Python as a hobby project during his Christmas break. He wanted to create a successor to the ABC language that would appeal to Unix/C hackers while fixing what he saw as ABC’s limitations.

Van Rossum named the language after the British comedy troupe Monty Python’s Flying Circus, not the snake. This whimsical choice reflects Python’s philosophy of making programming fun.

The Zen of Python

Python’s design philosophy is captured in “The Zen of Python” (accessible via import this), which includes principles like:

  • Beautiful is better than ugly
  • Explicit is better than implicit
  • Simple is better than complex
  • Readability counts
  • There should be one— and preferably only one —obvious way to do it

Rise to Dominance

Python’s growth has been remarkable. From a niche scripting language in the 1990s, it has become:

  1. The #1 language for beginners - Most US universities now teach Python as the first programming language
  2. The dominant language in data science - The entire ML/AI revolution runs on Python
  3. A top-3 language overall - Consistently ranked among the most popular languages worldwide

Why Python Succeeded

  1. Readability: Significant whitespace forces clean, consistent code
  2. Batteries Included: Rich standard library for common tasks
  3. Ecosystem: PyPI (Python Package Index) has over 400,000 packages
  4. Versatility: Web, data science, automation, scripting, games, and more
  5. Community: Welcoming community with strong documentation culture
  6. Corporate Backing: Google, Meta, Microsoft, and Amazon invest heavily in Python

Python 2 vs Python 3

The Python 2 to Python 3 transition was one of the most significant (and controversial) migrations in programming history:

  • Python 3.0 (2008) introduced breaking changes for a cleaner language design
  • Division behavior, print function, and Unicode handling were key changes
  • The community spent over a decade maintaining both versions
  • Python 2 reached end of life on January 1, 2020

Today, all new Python development uses Python 3, with Python 3.11+ offering significant performance improvements.

Modern Python

Python continues to evolve rapidly:

  • Type Hints (3.5+): Optional static typing for better tooling and documentation
  • async/await (3.5+): Native asynchronous programming support
  • Pattern Matching (3.10+): Structural pattern matching like other modern languages
  • Performance (3.11+): The “Faster CPython” project has dramatically improved speed
  • No-GIL Experiments (3.13+): Work toward removing the Global Interpreter Lock

While Python may not be the fastest language, its development speed, vast ecosystem, and gentle learning curve have made it indispensable for rapid prototyping, scripting, data analysis, and machine learning applications worldwide.

Timeline

1989
Guido van Rossum begins work on Python as a hobby project
1991
Python 0.9.0 released with classes, functions, exception handling
1994
Python 1.0 released with lambda, map, filter, reduce
2000
Python 2.0 introduces list comprehensions, garbage collection
2008
Python 3.0 released, breaking backward compatibility for cleaner design
2012
Python becomes the most taught language in US universities
2018
Guido van Rossum steps down as BDFL; steering council formed
2020
Python 2 reaches end of life; Python 3 becomes the standard
2022
Python 3.11 brings significant performance improvements (10-60% faster)
2024
Python 3.13 released with improved error messages and performance

Notable Uses & Legacy

Machine Learning & AI

Python dominates ML/AI with TensorFlow, PyTorch, scikit-learn, and Keras powering cutting-edge research and applications.

Data Science

pandas, NumPy, and Jupyter notebooks make Python the lingua franca of data analysis and scientific computing.

Web Development

Django and Flask power major websites including Instagram, Pinterest, and Spotify's backend services.

YouTube

YouTube was originally written in Python and continues to use it extensively for backend services.

NASA & Space Exploration

NASA uses Python for data analysis, simulations, and controlling spacecraft systems.

Automation & DevOps

Ansible, SaltStack, and countless automation scripts are written in Python for infrastructure management.

Language Influence

Influenced By

ABC C Modula-3 Lisp Haskell Perl

Influenced

Ruby Julia Swift Go Kotlin JavaScript (partially)

Running Today

Run examples using the official Docker image:

docker pull python:3.13-alpine

Example usage:

docker run --rm -v $(pwd):/app -w /app python:3.13-alpine python hello.py

Topics Covered

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