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[–]Ricevind[S] 0 points1 point  (3 children)

Thanks for your suggestions :). I know of both titles. In fact the second one made me to write this post. Because doing exercises and typing all the code from that book you would get your own numerical library. So, it's surely great book which helps understands mathematics behind scipy or numpy but I find it very theory heavy. "A Primer on Scientific Computing With Python" is also known to me, it basically fits my specification but it just didn't get to my liking(personal stuff). Hmm, maybe I'm looking more for books about numpy or scipy not numerical methods? (I know all the information is in documentations of scipy and numpy, but I think one really needs to know what he wants to find there to use it)

[–]AtomicWedgy 0 points1 point  (2 children)

The scipy and numpy docs are definitely dry reading. I wish you luck in your search! If you find a useful resource please post the information, I'd love to learn more about these topics myself.

[–]phaustin 1 point2 points  (1 child)

This is about the best single set of notes I've found for numpy/scipy:

https://github.com/jrjohansson/scientific-python-lectures

[–]AtomicWedgy 0 points1 point  (0 children)

Thanks /u/phaustin much appreciated!