Overview of the NumFOCUS Data Science Stack
summary
A concrete inventory of what NumFOCUS actually funds and why: lists of Jupiter notebook and numpy and libraries (pandas, matplotlib, scikit-learn, xray, PyTables, Stan, Julia), the legal split between sponsored (comprehensive vs grantor/grantee) and affiliated, a new Sloan foundation grant for a sustainability toolkit, plans for a summit to align APIs and data formats, examples of performance paths (numba cython dined) and explicit asks: volunteers, steering committees, and booth helpers.
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chapters (9)
- 0:00Introduction to NumFOCUS and the talk
- 4:18NumFOCUS mission
- 13:50Sponsored vs affiliated projects
- 27:32Fiscally sponsored projects
- 37:52Python and Julia ecosystems
- 48:02Affiliated projects and tools
- 58:48NumFOCUS summit and plans
- 1:08:01Sustainability and volunteering
- 1:19:16Q&A
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