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For those of you who wish to begin learning Python for Data Science, here is a list of various resources that will get you up and running. Included are things like online tutorials and short interactive course, MOOCs, newsletters, books, useful tools and more.


Python Tips decided to put this together so that you can begin learning Data Science with Python right of the bat, without having to spend hours surfing the web in search of resources: 

Tutorials 

Massive Open Online Courses (MOOCs)

Resources and Newsletters

Books

Work Space

You can find the full article, hereFor more articles about Python, click here

DSC Resources

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Comment by Abhijith on February 14, 2018 at 8:48pm

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Comment by Krishnaswami Rajagopalan on July 17, 2017 at 5:48pm

Ma'am thank you for taking time out and doing this blog in such detail.

Comment by Dheeraj Tommandru on March 16, 2017 at 6:57am
Thank you sir
Comment by Maksymilian Piechanowski on August 4, 2016 at 11:29pm

Thank you!

Comment by Adrian Walker on August 2, 2016 at 12:37pm


Historically, programming languages have evolved to be further from the machine (think octal !) and closer to the way people naturally think (think Java).

In the last decade or so this progress seems to have stalled.  

But here's a next step -- Executable English -- -- emerging self-service self-explaining database apps, live online at www.executable-english.com .

Here's a slide:

www.executable-english.com/internet_business_logic_in_a_nutshell.pdf

and a short paper:

www.astd.org/Publications/Magazines/The-Public-Manager/Archives/201...

Comment by Louis Bruno on August 2, 2016 at 11:08am

   Excellent list of sources.  I have recently "discovered" George Boole's PROJECT PYTHON on YOUTUBE.  It may not be for everyone, but I am finding it uniquely helpful for myself.  The biggest change I can point to is his narration through each line of the program, vs simply listing the steps.

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