# Python Programming Language Confidence: high Last verified: 2026-05-22 Generation: human_only ## TL;DR Python is a high-level, interpreted programming language created by Guido van Rossum and first released in 1991. It emphasizes code readability through significant whitespace and a clean syntax. As of 2026, Python is the most popular programming language according to the TIOBE Index, used by over 15 million developers worldwide for web development, data science, AI/ML, automation, and scientific computing. ## Core Explanation Python is dynamically typed and garbage-collected, supporting multiple programming paradigms including procedural, object-oriented, and functional programming. Its "batteries included" philosophy means the standard library provides modules for file I/O, networking, regular expressions, JSON/XML parsing, and more out of the box. Python's dominance in AI/ML is driven by its ecosystem: NumPy/SciPy for scientific computing, PyTorch and TensorFlow for deep learning, LangChain/LlamaIndex for LLM applications, and Jupyter for interactive computing. The PyPI package repository hosts over 500,000 packages as of 2026. ## Key Features - **Significant whitespace**: Indentation defines code blocks, enforcing readability - **Dynamic typing**: Variables don't need type declarations; type hints (PEP 484) are optional - **Garbage collection**: Automatic memory management with reference counting and cycle detection - **Comprehensive standard library**: HTTP, JSON, SQLite, async I/O, unittest, and more - **C API**: Python can call C/C++ libraries; CPython is the reference implementation ## Version History Python 3.0 (2008) was a breaking change from Python 2, removing accumulated cruft. Python 2 reached end-of-life on January 1, 2020. Key modern versions: Python 3.11 (2022, 10-60% speedup), Python 3.12 (2023, f-string improvements, subinterpreters), Python 3.13 (2024, experimental JIT compiler, free-threaded mode), Python 3.14 (2025). ## Further Reading - [Python 3.13 Docs](https://docs.python.org/3.13/): Official documentation - [PEP Index](https://peps.python.org/): Python Enhancement Proposals - [PyPI](https://pypi.org/): Python Package Index