Python
A high-level, interpreted programming language known for its clear syntax and emphasis on code readability.
Created by Guido van Rossum
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:
- The #1 language for beginners - Most US universities now teach Python as the first programming language
- The dominant language in data science - The entire ML/AI revolution runs on Python
- A top-3 language overall - Consistently ranked among the most popular languages worldwide
Why Python Succeeded
- Readability: Significant whitespace forces clean, consistent code
- Batteries Included: Rich standard library for common tasks
- Ecosystem: PyPI (Python Package Index) has over 400,000 packages
- Versatility: Web, data science, automation, scripting, games, and more
- Community: Welcoming community with strong documentation culture
- 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
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
Influenced
Running Today
Run examples using the official Docker image:
docker pull python:3.13-alpineExample usage:
docker run --rm -v $(pwd):/app -w /app python:3.13-alpine python hello.py