# [Numpy-discussion] Numpy beginner tutorial

eat e.antero.tammi at gmail.com
Tue May 7 15:03:16 EDT 2013

```Hi,

Looks nice tutorial, indeed.

On Tue, May 7, 2013 at 12:54 PM, Nicolas Rougier
<Nicolas.Rougier at inria.fr>wrote:

>
>
> Hello everybody,
>
>
> I've written a numpy beginner tutorial that is available from:
>
> http://www.loria.fr/~rougier/teaching/numpy/numpy.html
>
> It has been designed around cellular automata to try to make it fun.
>
Perhaps you could also link to
http://www.scipy.org/Cookbook/GameOfLifeStrides (at least if you are
planning to have exercises beyond Apprentice level). IMHO it just provides
more natural view of the neighborhood via stride_tricks.

>
>
> While writing it, I tried to compile a set of exercises and make them
> progressively harder. For advanced levels, I thought the easiest way would
> be to extract simple questions (but more importantly answers) from this
> very mailing list in order to gather them on a single page. The goal would
> be both to offer a quick reference for new (and old users) and to provide
> also a set of exercices for those who teach. However, it's a bit harder
> than I thought since the mailing list is huge.
>
> I made a separate page for this:
>
> http://www.loria.fr/~rougier/teaching/numpy.100/index.html
> (Sources are http://www.loria.fr/~rougier/teaching/numpy.100/index.rst)
>
> (The level names came from an old-game: Dungeon Master)
>
>
> In order to extract questions/answers and I would need some help, if you
> have some free time to spare...
>
> If you remember having asked or answered a (short) problem, could you send
> a link to the relevant post (the one with the answer), or better, write
> directly the formated entry. Here is an example:
>
>
> #. Find indices of non-zero elements from [1,2,0,0,4,0]
>
>    .. code:: python
>
>       # Author: Somebody
>
>       print np.nonzero([1,2,0,0,4,0])
>
>
> If you can provide the (assumed) level of the answer, that would be even
> better.

My 2 cents,
-eat

>

> Nicolas
>
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion at scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
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