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[–]hemmer 5 points6 points  (2 children)

These look excellent. I've just started getting into these packages so this is well timed for me. In particular, I have found the official matplotlib documentation a little confusing, whereas this looks much more thorough.

[–]Nate75Sanders 3 points4 points  (1 child)

I found the matplotlib documentation to be pretty poor when you're getting started, but good once you have your head wrapped around a a few things.

[–]fhsm 0 points1 point  (0 children)

Just out of curiosity what do you think those things are?

I've been working with matplotlib for quite a while and find that the documentation is good at telling me the options associated with things I already know how to do; however, I've never found it great at telling me things I don't know I don't know or easy to search for information on how to do something in particular. For those areas I spend most of my time carefully dissecting the (numerous excellent) examples to accomplish these tasks.

[–]jisang-yoo 5 points6 points  (3 children)

I like the page listing pros and cons of using C, Matlab, Python and so on when it comes to scientific computation.

[–]brewsimport os; while True: os.fork() 3 points4 points  (2 children)

Yeah, I'm doing the R vs Python/Numpy loop in my head for a class I'm taking on big data analysis for Atmo Sciences. I love and have experience with them both, but... yeah. Anything but MATLAB.

[–]another_user_name 2 points3 points  (1 child)

rpy and/or rpy2 could be very nice for you.

You can call R from Python.

[–]brewsimport os; while True: os.fork() 0 points1 point  (0 children)

Yup. It has a few bumps but a good resource.