Re: [matplotlib-devel] SciPy 2013

[Marcel O. <m.o...@ja...>]

Benjamin Root writes:
 > On Mon, Mar 25, 2013 at 12:46 PM, Phil Elson <pel...@gm...> wrote:
 > 
 >     >I am putting together a beginners tutorial proposal that I will submit
 >     soon
 >    
 >     That's great to hear! Are you planning on making the tutorial material
 >     part of mpl's docs or using the content that is already out there?
 > 
 > It is all new stuff, but I have been taking inspirations from other tutorials
 > I have seen and said to myself "You are all teaching it wrong!"  :-P
 > 
 > I am ignoring pylab (risky, I know), starting with a *very* basic NumPy
 > primer, and then moving on to teach matplotlib from the perspective of "here
 > are what the parts of a plot are called and what they are for, and see what
 > happens when we put those parts together".  It is an ingredients approach,
 > essentially.

Just for the record: over the last few years I have assembled a
document which is more a collection of facts and tricks on
Numpy/Scipy/Matplotlib which seems orthogonal to your goals.  I am
trying to get students in numerical analysis or similar courses
operational as quickly as possible.  So I am taking pylab as a
baseline.  (So really a Matlab replacement, although most students
will not have had any close contact with Matlab...)

Any comments are welcome.  Some more nice matplotlib examples are on
my wish list, but I have not found time yet...

PDF: http://math.jacobs-university.de/oliver/teaching/numpy-intro/numpy-intro.pdf
HTML: http://math.jacobs-university.de/oliver/teaching/numpy-intro/numpy-intro/index.html
Sources: http://math.jacobs-university.de/oliver/teaching/numpy-intro/

I have been argued back and forth with myself whether I should make it
more pythonic (as most of the "official" matplotlib examples are), but
then on the ground where class time is precious, I came to appreciate
the simplicity of pylab-style code.

Regards,
Marcel


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