Best practice resource for Numpy and scikit?

What are the practice resource for Numpy and scikit?

Anything is appreciated. I can understand the code, but for me to write it by myself, not there yet. Any advices? Should I get familiar with everything now? Or it’s still early in the learning process.

Did you try this:

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This is perfect for me.

I also found Nicolas rougier’s github repo “100 numpy excersizes” helpful to become comfortable with the library.

@Ryan_Zalewski, thanks for posting the helpful link.

I’m going to edit the message, because the URL is being rendered as embedded content, and the snippet of the jupyter notebook markup isn’t very pleasant to look at.

Thanks for sharing it, @Ryan_Zalewski!