[SciPy-Dev] Introduction to Python for Science

[Ralf Gommers]

On Fri, Sep 5, 2014 at 6:00 PM, Nathaniel Smith <njs at pobox.com> wrote:

> Is there any comprehensive list of such resources? I feel like I've seen
> several go by at different times, and surely at some point will want to
> recommend some of them to students, but by that time I'll have list track
> of the links, and be uncertain which resources are more appropriate for
> which students as well.
>

I wouldn't say it's comprehensive, but
http://scipy.org/topical-software.html#tutorials-and-texts contains a
selection. David's book looks like it would be a nice addition to that
list. PR to https://github.com/scipy/scipy.org very welcome.

Ralf

-n
> On 5 Sep 2014 10:32, "Stefan Otte" <stefan.otte at gmail.com> wrote:
>
> Nice work! I always recommend the "Python Scientific Lecture Notes"
> [1] to students.
>
> Best,
>  Stefan
>
>
> [1] https://scipy-lectures.github.io/
>
>
>
> On Fri, Sep 5, 2014 at 4:25 PM, David J Pine <djpine at gmail.com> wrote:
> > NumPy, SciPy, MatPlotLib Users & Science teachers:
> >
> > I have written an introduction to scientific python that you may find
> > useful.  You can download it from GitHub and use it freely:
> >
> > https://github.com/djpine/pyman
> >
> > I wrote this manual/book for undergraduates taking science and
> engineering
> > courses that use programming to solve science and engineering problems.
> It
> > is not for experts.  I am sharing it with the hope that others may find
> it
> > useful.  It includes an introduction to very basic programming,
> > numpy,matplotlib, & scipy, as well as instructions on how to download and
> > install Python and these three libraries.  It also includes an
> introduction
> > to IPython notebooks.
> >
> > Corrections and suggestions for improvements are welcome.
> >
> > David Pine
> >
> >
> > _______________________________________________
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> > SciPy-Dev at scipy.org
> > http://mail.scipy.org/mailman/listinfo/scipy-dev
> >
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