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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. 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 ...

4. The best online coding courses that are available for free on ...

   www.aol.com/online-coding-courses-available-free...

   TL;DR: As of July 14, a wide range of online coding courses are available for free on Udemy.Don't say we never do anything for you, because we've lined up a selection of popular online coding ...

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. pandas (software) - Wikipedia

   en.wikipedia.org/wiki/Pandas_(software)

   Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. [2]

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 ...