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
Re:Scipy Lecture Notes
by screature2 on Friday January 08, 2021 @12:31PM
(#25687180)
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.
Re:Scipy Lecture Notes
by blewboarwastake on Friday January 08, 2021 @06:29AM
(#25683603)
Thank you for sharing. Never heard of Data Carpentry, looks awesome.
This is great! Has anyone read From Python to NumPy?
* 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