Python is a high-level, general-purpose programming language that emphasizes code readability, simplicity, and ease-of-writing with the use of significant indentation, an extensive standard library, and garbage collection. Python supports multiple programming paradigms but with an emphasis on object-oriented programming and dynamic typing.
Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language at Centrum Wiskunde & Informatica in the Netherlands. Van Rossum first released it in 1991 as Python 0.9.0, maintaining sole responsibility as the lead developer until stepping down in 2018.
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SubscribeThe language uses whitespace indentation rather than curly brackets or keywords to delimit blocks, ensuring that the program's visual structure accurately represents its semantic structure. Python's core philosophy is summarized in the Zen of Python, written by Tim Peters, which highlights simplicity and readability.
Python is widely taught as an introductory programming language and continues to evolve through annual release cycles managed by the Python Software Foundation. As of 2026, newer versions like Python 3.15 introduce advanced features while maintaining the language's core emphasis on clear, readable code.
Design Philosophy and Features of Python
Python is a multi-paradigm programming language supporting object-oriented programming, structured programming, functional programming, and aspect-oriented programming. Its design offers support for functional programming with functions like filter, map, and reduce alongside list comprehensions and generator expressions.
Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. It utilizes dynamic name resolution, which binds method and variable names during program execution rather than at compile time.
Rather than building all functionality into its core, Python was designed to be highly extensible through modules, serving as a glue language capable of integrating components written in other languages. This modularity allows developers to add programmable interfaces easily to existing applications.
Python's developers typically prioritize readability over performance, rejecting patches that offer minor speed increases at the cost of clarity. Execution speed can instead be improved by moving speed-critical functions to extension modules written in languages such as C or by using just-in-time compilers.