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2. 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 ...

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

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

   You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

4. 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.

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

   www.aol.com/learn-code-100-hours-python...

   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.

6. OpenLearn - Wikipedia

   en.wikipedia.org/wiki/OpenLearn

   It is the UK's Open University's contribution to the open educational resources (OER) project and the home of free, open learning from The Open University. [5] The original project was part-funded by the William and Flora Hewlett Foundation. [6] OpenLearn is a member of the OpenCourseWare Consortium (OCWC). [7]

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 ...