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. [email protected] 1-512-536-1057 http://www.enthought.com
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