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Here's more awesome resources:

* Pandas: https://pandas.pydata.org/docs/getting_started/index.html

* DSP: https://greenteapress.com/thinkdsp/html/index.html

* Numpy: https://www.labri.fr/perso/nrougier/from-python-to-numpy/

* Data Carpentry: https://datacarpentry.org/lessons/

* Data science path: https://github.com/ossu/data-science



This is a great list, thank you.

Julia Evans has a Pandas cookbook that's a good complement to the official docs: https://github.com/jvns/pandas-cookbook


Also, I love the cookbooks that Chris Albon put together https://chrisalbon.com/

I make especially heavy use of the data wrangling recipes everytime I can't figure out how to do something in pandas.


Thank you for sharing. Never heard of Data Carpentry, looks awesome.


This is great! Has anyone read From Python to NumPy?


thank you!




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