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2. 7 of the best Python courses available for free this week - AOL

   www.aol.com/7-best-python-courses-available...

   TL;DR: A wide range of beginner-friendly Python courses are available for free on Udemy. Understanding Python might seem like something that's completely out of reach, but even masters of this ...

3. Codecademy - Wikipedia

   en.wikipedia.org/wiki/Codecademy

   Codecademy offers courses covering languages such as Python, JavaScript, HTML/CSS, and Ruby, as well as specialized topics like web development, data science, and machine learning. The platform offers both free and paid subscription options. A paid subscription provides access to additional features and content.

4. Python (programming language) - Wikipedia

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

   Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [36] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [37] [38] [39] [40]

5. List of MOOC providers - Wikipedia

   en.wikipedia.org/wiki/List_of_MOOC_providers

   List of MOOC providers. The following is a list of notable massive open online course providers (MOOCs) worldwide. Name. Topics. Education level. Cost. Languages courses are available in. Provider/s. Type.

6. Udemy - Wikipedia

   en.wikipedia.org/wiki/Udemy

   Udemy, Inc. (/ ˈ j uː d ə m i / YOO-də-mee) is an education technology company, founded in May 2010 by Eren Bali, Gagan Biyani, and Oktay Caglar.It is based in San Francisco, California, United States, with hubs in Denver, Colorado; Dublin, Ireland; Austin, Texas; Melbourne, Australia; İstanbul, Turkey, and Gurgaon, India.

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 ...