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  2. 5 of the best Python courses available for free this week - AOL

    www.aol.com/5-best-python-courses-available...

    FREE COURSES: Kickstart a new career by learning to code. A wide range of beginner-friendly Python courses are available for free on Udemy. You can spend a lot of money enrolling in some online ...

  3. freeCodeCamp - Wikipedia

    en.wikipedia.org/wiki/FreeCodeCamp

    freeCodeCamp (also referred to as Free Code Camp) is a non-profit educational organization [4] that consists of an interactive learning web platform, an online community forum, chat rooms, online publications and local organizations that intend to make learning software development accessible to anyone.

  4. Codecademy - Wikipedia

    en.wikipedia.org/wiki/Codecademy

    Code Year was a free incentive Codecademy program intended to help people follow through on a New Year's Resolution to learn how to program, by introducing a new course for every week in 2012. [32] Over 450,000 people took courses in 2012, [33] [34] and Codecademy continued the program into 2013. Even though the course is still available, the ...

  5. 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 [71] and metaobjects). [72]

  6. Thonny - Wikipedia

    en.wikipedia.org/wiki/Thonny

    Thonny (/ ˈ θ ɒ n i / THON-ee) is a free and open-source integrated development environment for Python that is designed for beginners. It was created by Aivar Annamaa, an Estonian programmer. It was created by Aivar Annamaa, an Estonian programmer.

  7. 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 ...

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