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Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [71] and metaobjects). [72]
Python 2.6 was released to coincide with Python 3.0, and included some features from that release, as well as a "warnings" mode that highlighted the use of features that were removed in Python 3.0. [28] [10] Similarly, Python 2.7 coincided with and included features from Python 3.1, [29] which was released on June 26
none (unique language) 1954 IPL I (concept) Allen Newell, Cliff Shaw, Herbert A. Simon: none (unique language) 1955 Address programming language: Kateryna Yushchenko: Operator programming – Alexey Andreevich Lyapunov & Kateryna Yushchenko & MESM: 1955 FLOW-MATIC: Team led by Grace Hopper at UNIVAC A-0 1955 BACAIC M. Grems and R. Porter 1955 ...
[35] According to a programming language popularity survey [36] it is consistently among the top 10 most mentioned languages in job postings. Furthermore, Python has been among the 10 most popular programming languages every year since 2004 according to the TIOBE Programming Community Index and got the number one spot on the index in October 2021.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.
Perl 5 gained widespread popularity in the late 1990s as a CGI scripting language for the Web, in part due to its parsing abilities. [15] Python is a widely used general-purpose, high-level, interpreted, programming language. [16] Python supports multiple programming paradigms, including object-oriented, imperative, functional and procedural ...
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
IDLE (short for Integrated Development and Learning Environment) [2] [3] is an integrated development environment for Python, which has been bundled with the default implementation of the language since 1.5.2b1. [4] [5] It is packaged as an optional part of the Python packaging with many Linux distributions.