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  2. Learn to code with 100+ hours of Python training for $40 - AOL

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    TL;DR: The 2023 Premium Python Programming Mega Certification Bundle is on sale for $40 — that's less than 3 bucks per course.If you want to learn to code, Python may be the place to start.

  3. Python (programming language) - Wikipedia

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

    Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.

  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. Get 10 Python programming courses for beginners for only $30

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    TL;DR: The Premium Python Programming Certification Bundle is worth $2,000, but as of April 23, you can get it for just $29.99.Learning to code is becoming much more approachable for the everyday ...

  6. "Hello, World!" program - Wikipedia

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

    program in a given programming language. This is one measure of a programming language's ease of use. Since the program is meant as an introduction for people unfamiliar with the language, a more complex "Hello, World!" program may indicate that the programming language is less approachable. [19] For instance, the first publicly known "Hello ...

  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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