Proposal NumPy & OpenBLAS for Chan Zuckerberg Initiative EOSS 2019 round 1

<div>This grant proposal was submitted to round 1 of the Essential Open Source Software for Science program from the Chan Zuckerberg Initiative. The proposed work consists of governance & community building, website development and high-level documentation activities for NumPy, and technical work on OpenBLAS. <br></div><div><br></div><div>The proposal was funded at 80% of the original budget, which we're very excited about! <br></div><div><br></div><div>The proposal document is the one we submitted - as a result of the 20% gap between proposed and received funding we have descoped a couple of deliverables:</div><div><br></div><div>- changed 5 beginner-friendly tutorials to 3.</div><div>- removed "Graphical navigation guides per chapter/topic in the reference guide"</div><div>- removed stretch deliverables:<br>1. A NumPy Enhancement Proposal on removal of numpy.matrix (including how to handle the transition for scipy.sparse, as the key module relying on matrix).<br>2. An advanced tutorial on extending NumPy, via subclassing and via array duck typing. <br></div><div><br></div><div>For more details, see:<br></div><div><br></div><div>- RFA: https://chanzuckerberg.com/rfa/essential-open-source-software-for-science/</div><div>- blog post from the program managers: https://medium.com/@cziscience/the-invisible-foundations-of-biomedicine-4ab7f8d4f5dd</div><div>- press release from the Chan Zuckerberg Initiative: https://chanzuckerberg.com/newsroom/chan-zuckerberg-initiative-awards-5-million-for-open-source-software-projects-essential-to-science/<br></div>