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

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Jonathan Rocher, PhD
Scientific software developer

SciPy2013 conference co-chair
Enthought, Inc.
jrocher@enthought.com
1-512-536-1057
http://www.enthought.com

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