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  2. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is known as a glue language, [78] able to work very well with many other languages with ease of access. Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. [79] It uses dynamic name resolution (late binding), which binds method and variable names during program ...

  3. Help:Cheatsheet - Wikipedia

    en.wikipedia.org/wiki/Help:Cheatsheet

    For a full list of editing commands, see Help:Wikitext. For including parser functions, variables and behavior switches, see Help:Magic words. For a guide to displaying mathematical equations and formulas, see Help:Displaying a formula. For a guide to editing, see Wikipedia:Contributing to Wikipedia. For an overview of commonly used style ...

  4. History of Python - Wikipedia

    en.wikipedia.org/wiki/History_of_Python

    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. [ 27 ] [ 10 ] Similarly, Python 2.7 coincided with and included features from Python 3.1, [ 28 ] which was released on June 26, 2009.

  5. David M. Beazley - Wikipedia

    en.wikipedia.org/wiki/David_M._Beazley

    David Beazley. David Beazley is an American software engineer. He has made significant contributions to the Python developer community, which includes writing the definitive Python reference text Python Essential Reference, the SWIG software tool for creating language agnostic C and C++ extensions, and the PLY parsing tool. [1][2] He has served ...

  6. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  7. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    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. It is free software released under the three-clause BSD license. [ 2 ]

  8. PyQt - Wikipedia

    en.wikipedia.org/wiki/PyQt

    PyQt is a Python binding of the cross-platform GUI toolkit Qt, implemented as a Python plug-in.PyQt is free software developed by the British firm Riverbank Computing. It is available under similar terms to Qt versions older than 4.5; this means a variety of licenses including GNU General Public License (GPL) and commercial license, but not the GNU Lesser General Public License (LGPL). [3]

  9. Natural Language Toolkit - Wikipedia

    en.wikipedia.org/wiki/Natural_Language_Toolkit

    The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. [ 4 ]