Outline of the Python programming language

From HandWiki
Short description: Overview of and topical guide to Python

The following outline is provided as an overview of and topical guide to Python:

Python is a general-purpose, interpreted, object-oriented, functional, multi-paradigm, and dynamically typed programming language known for its emphasis on code readability

and broad standard library. Python was created by Guido van Rossum and first released in 1991. It emphasizes code readability and developer productivity.[1][2][3]

What type of language is Python?

History of Python

  • ABC (programming language) – precursor to Python
  • Python was started by Guido van Rossum in 1989 and first released in 1991.
  • Python 2 — major version released in 2000, officially retired in 2020.
  • Python 3 — released in 2008[4]

General Python concepts

Issues and limitations

  • Performance — generally slower than many compiled languages such as C or Java can be mitigated by C extensions or JIT compilers (PyPy).
  • Global interpreter lock — limits parallel CPU-bound threads in CPython
  • Memory consumption — high memory use compared to some lower-level languages
  • Version compatibility — Python 2 vs Python 3 differences caused migration issues

Python implementations

Python toolchain

TIOBE Index
Python ranked first in the TIOBE Index as of September 2025.

Notable projects using Python

Python development communities

Example source code

Python publications

Books about Python

  • Automate the Boring Stuff with Python[9]Creative Commons Python book
  • Alex Martelli — Python in a Nutshell and Python Cookbook
  • Mark Pilgrim – Dive into Python
  • Naomi Ceder — The Quick Python Book
  • Wes McKinneyPython for Data Analysis
  • Zed Shaw – Learn Python the Hard Way

Textbooks

Python programmers

Python conferences

  • EuroPython[10] – annual Python conference in Europe
  • PyCon – the largest annual convention for the Python community
  • PyData[11] – conference series focused on data analysis, machine learning, and scientific computing with Python
  • SciPy Conferences – focused on the use of Python in scientific computing and research
  • DjangoCon – a conference dedicated to the Django web framework
  • PyOhio[12] – a free regional Python conference held in Ohio[13]

Python learning resources

Competitive programming

  • Codeforces – an online platform for programming contests that supports Python submissions
  • Codewars – gamified coding challenges supporting Python
  • HackerRank – competitive programming and interview preparation site with Python challenges
  • Kaggle – while focused on data science competitions, it also includes Python-based problem solving.
  • LeetCode – online judge and problem-solving platform where Python is widely used

See also

Outlines of other programming languages

References