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  2. Python (programming language) - Wikipedia

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

    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 [70] and metaobjects). [71] Many other paradigms are supported via extensions, including design by ...

  3. Zen of Python - Wikipedia

    en.wikipedia.org/wiki/Zen_of_Python

    The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [1] Python code that aligns with these principles is often referred to as "Pythonic". [2] Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in ...

  4. History of Python - Wikipedia

    en.wikipedia.org/wiki/History_of_Python

    The programming language Python was conceived in the late 1980s, [ 1 ] and its implementation was started in December 1989 [ 2 ] by Guido van Rossum at CWI in the Netherlands as a successor to ABC capable of exception handling and interfacing with the Amoeba operating system. [ 3 ] Van Rossum is Python's principal author, and his continuing ...

  5. Core Python Programming - Wikipedia

    en.wikipedia.org/wiki/Core_Python_Programming

    Core Python Programming is a textbook on the Python programming language, written by Wesley J. Chun. The first edition of the book was released on December 14, 2000. [1] The second edition was released several years later on September 18, 2006. [2] Core Python Programming is mainly targeted at higher education students and IT professionals.

  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. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.

  8. File:Non-Programmer's Tutorial for Python 3.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Non-Programmer's...

    File:Non-Programmer's Tutorial for Python 3.pdf. Size of this JPG preview of this PDF file: 424 × 600 pixels. Other resolutions: 170 × 240 pixels | 339 × 480 pixels | 543 × 768 pixels | 1,239 × 1,752 pixels. This is a file from the Wikimedia Commons. Information from its description page there is shown below.

  9. Django (web framework) - Wikipedia

    en.wikipedia.org/wiki/Django_(web_framework)

    Django (/ ˈdʒæŋɡoʊ / JANG-goh; sometimes stylized as django) [6] is a free and open-source, Python -based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern. [7][8] It is maintained by the Django Software Foundation (DSF), an independent organization established in the US as a 501 ...