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

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

    Short title: Non-Programmer's Tutorial for Python 3/Print version - Wikibooks, open books for an open world; Author: hbossot: Image title: File change date and time

  3. 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 ...

  4. File:Non-Programmer's Tutorial for Python 2.6.pdf - Wikipedia

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

    English: PDF version of Non-Programmer's Tutorial for Python 2.6 This file was created with MediaWiki to LaTeX . The LaTeX source code is attached to the PDF file (see imprint).

  5. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python syntax and semantics. A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java ...

  6. "Hello, World!" program - Wikipedia

    en.wikipedia.org/wiki/"Hello,_World!"_program

    A "Hello, World!" program is generally a simple computer program which emits (or displays) to the screen (often the console) a message similar to "Hello, World!" while ignoring any user input. A small piece of code in most general-purpose programming languages, this program is used to illustrate a language's basic syntax.

  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. 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 ...

  9. File:Python Programming.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Python_Programming.pdf

    English: A PDF version of the en:Python Programming Wikibook. This file was created with MediaWiki to LaTeX . The LaTeX source code is attached to the PDF file (see imprint). Transferred from en.wikibooks to Commons by Adrignola using CommonsHelper. The original uploader was Hagindaz at English Wikibooks.