Hi Marcel,

Thanks for sharing.

We've been asked to cover some intermediate and advanced Python at an
upcoming workshop (http://mkcor.github.io/2016-06-01-mcgill/), so I'll
definitely draw from the materials that you and Bartosz are pointing
to.  I knew of the stuff Juan, Gaël, and others had put together, but
it's super helpful and convenient to have an *up-to-date* {list,
reference, aggregation} the way you are sharing it.  I'll give you
folks some feedback afterwards.

Thanks again,
Marianne

On Mon, May 23, 2016 at 11:46 AM, Marcel Stimberg
<[email protected]> wrote:
> Dear all,
>
> following up on Bartosz's recent email about his "advanced numpy"
> material[1], here is some additional material from the same "SWC-inspired"
> advanced Python workshop[2]: I had the pleasure to present a lesson on
> "testing, debugging, profiling"[3], rendered here to HTML with the standard
> SWC template[4].
>
> As for Bartosz, the workshop was the first and so far only time that I
> presented this content. In about 2h45 I covered most of it, but was running
> out of time in the end so that the participants unfortunately did not have
> the time to do the exercises for the profiling part. The general feedback
> for the lesson was positive and the content considered useful -- comments,
> pull requests, etc. are more than welcome!
>
> The first part on testing is heavily based on Katy Huff's "python-testing"
> lesson[5] (using pytest instead of nose and numpy arrays instead of lists),
> although considerably shorter and therefore not covering as many
> testing-related topics. The sections on debugging and profiling drew
> inspiration from the corresponding sections in the scipy lecture notes[6],
> written by Gaël Varoquaux.
>
> Best,
>   Marcel
>
>
> [1]
> http://lists.software-carpentry.org/pipermail/discuss/2016-May/004441.html
> [2] http://telecom-python.telenczuk.pl/
> [3] https://github.com/paris-swc/python-testing-debugging-profiling
> [4] http://paris-swc.github.io/python-testing-debugging-profiling/
> [5] http://katyhuff.github.io/python-testing/
> [6] http://www.scipy-lectures.org
>
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