educational resources recommendations are wanted

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educational resources recommendations are wanted

Inessa Pawson
I’m working on creating a curated collection of NumPy related educational resources (tutorials, articles, books, presentations, courses, etc.).
Your recommendations would be much appreciated, especially in languages other than English. Please include in your submission a brief description why it deserves mention on numpy.org and what audience would benefit from it the most.
--
Every good wish,
Inessa Pawson 
NumPy Web Team


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Re: educational resources recommendations are wanted

ralfgommers


On Wed, Oct 16, 2019 at 4:22 AM Inessa Pawson <[hidden email]> wrote:
I’m working on creating a curated collection of NumPy related educational resources (tutorials, articles, books, presentations, courses, etc.).
Your recommendations would be much appreciated, especially in languages other than English. Please include in your submission a brief description why it deserves mention on numpy.org and what audience would benefit from it the most.

Just in case I didn't mention it before, there's a list at the bottom of https://github.com/numfocus/gsod/blob/master/2019/NumPy_ideas_list.md

And I see I missed Nicolas Rougier's book on vectorization there, which is really nice: https://www.labri.fr/perso/nrougier/from-python-to-numpy/

Audience for all those materials is beginning users. SciPy Lecture Notes are specifically designed to be good to teach with, which may be good to point out (so second audience is educators).

Cheers,
Ralf


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Re: educational resources recommendations are wanted

Charles R Harris
In reply to this post by Inessa Pawson


On Tue, Oct 15, 2019 at 8:23 PM Inessa Pawson <[hidden email]> wrote:
I’m working on creating a curated collection of NumPy related educational resources (tutorials, articles, books, presentations, courses, etc.).
Your recommendations would be much appreciated, especially in languages other than English. Please include in your submission a brief description why it deserves mention on numpy.org and what audience would benefit from it the most.
--
Every good wish,
Inessa Pawson 
NumPy Web Team

There are some tutorials on youtube, https://www.youtube.com/watch?v=ZB7BZMhfPgk&t=90s for instance. Asking Fernando Perez if there are some online resources at Berkeley might also be useful, Berkeley has an ongoing program teaching data science.

Chuck 

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