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Here's more awesome resources: * Pandas: https://pandas.pydata.org/docs/getting_started/index.html https://pandas.pydata.org/docs/getting_started/index.html *
by asicsp 6y ago
Here's more awesome resources:
* Pandas: https://pandas.pydata.org/docs/getting_started/index.html https://pandas.pydata.org/docs/getting_started/index.html
* DSP: https://greenteapress.com/thinkdsp/html/index.html https://greenteapress.com/thinkdsp/html/index.html
* Numpy: https://www.labri.fr/perso/nrougier/from-python-to-numpy/ https://www.labri.fr/perso/nrougier/from-python-to-numpy/
* Data Carpentry: https://datacarpentry.org/lessons/ https://datacarpentry.org/lessons/
* Data science path: https://github.com/ossu/data-science https://github.com/ossu/data-science
- 3do 6y agothank you!
- blewboarwastake 6y agoThank you for sharing. Never heard of Data Carpentry, looks awesome.
- jbencook 6y agoThis is great! Has anyone read From Python to NumPy?
- screature2 6y agoAlso, I love the cookbooks that Chris Albon put together https://chrisalbon.com/ 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.
- mattficke 6y agoThis 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 https://github.com/jvns/pandas-cookbook