Comment on Scipy Lecture NotesComments−asicsp5yHere'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−mattficke5yThis 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−screature25yAlso, 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.−blewboarwastake5yThank you for sharing. Never heard of Data Carpentry, looks awesome.−jbencook5yThis is great! Has anyone read From Python to NumPy?−3do5ythank you!
Comments
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!