[Numpy-discussion] Growing the contributor base of Numpy

[Jonathan Rocher]

Dear all,

One recurring question is how to *grow the contributor base* to NumPy and
provide help and relief to core developers and maintainers.

 One way to do this would be to *leverage the upcoming SciPy conference* in
2 ways:

   1. Provide an intermediate or advanced level tutorial on NumPy focusing
   on teaching the C-API and the architecture of the package to help people
   navigate the source code, and find answers to precise deep questions. I
   think that many users would be interested in being better able to
   understand the underlayers to become powerful users (and contributors if
   they want to).

   2. Organize a Numpy sprint to leverage all this freshly graduated
   students apply what they learned to tackle some of the work under the
   guidance of core developers.

 This would be a great occasion to share and grow knowledge that is
fundamental to our community. And the fact that the underlayers are in C is
fine IMHO: SciPy is about scientific programming in Python and that is done
with a lot of C.

*Thoughts? Anyone interested in leading a tutorial (can be a team of
people)? Anyone willing to coordinate the sprint? Who would be willing to
be present and help during the sprint? *

Note that there is less than 1 week left until the tutorial submission
deadline. I am happy to help brainstorm on this to make it happen.

Thanks,
Jonathan and Andy, for the SciPy2013 organizers

-- 
Jonathan Rocher, PhD
Scientific software developer
SciPy2013 conference co-chair
Enthought, Inc.
jrocher at enthought.com
1-512-536-1057
http://www.enthought.com
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20130325/41002c00/attachment.html>