Added Cheat Sheets

[Kacawi-zz]

No description provided.

[clarecorthell]

This is a good type of resource, but I'm torn on whether to include it. I think the addenda of Python for Data Analysis and other books can do a much more thorough yet concise job of the same. Thoughts?

[clarecorthell]

And the R sheet will have to go in the dedicated .md for R resources, the core curriculum focuses on Python. Thanks for contributing!

[Kacawi-zz]

Hi @clarecorthell, thanks for the reply!
I agree and disagree with your thoughts on whether to include the cheat sheets: I think that the resources that are already included indeed do a much more thorough job, but the purpose of a cheat sheet is different in that it serves as a summary/help to those who are just starting out with Python for data science; It's not meant to give a thorough introduction yet helps to assimilate the material that is offered by other resources.
If it would help, I also made cheat sheets for Python packages; I have added .png files of them to this message.

Just additional information: the Python cheat sheet has 46,000 views on DataCamp, Pandas 50,000, Bokeh & Scikit-Learn 25,000 and NumPy 22,000.

The R cheat sheet is now in r-resources.md ; Should I include it in another .rmd file?

[Kacawi-zz]

@clarecorthell let me know what you think! :)