Keynote
summary
History of building and distribution dominates: creation of NumPy and SciPy, an early workshop that became PyData in 2012, and a packaging focus that produced Anaconda and conda-store. Claims: open source needs sustainable funding, cooperative business models, and community-led paid work. Tools and patterns: JupyterHub/Notebook deployments, data apis and repos (reimbursed enhancement proposals), avoidance of vendored Wheels, and environment-first workflows. Scale evidence: a 30-year community arc, a venture portfolio of about 14 companies invested, labs that fund maintainers, and incubator + open teams to operationalize collaboration.
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chapters (21)
- 0:00Introduction
- 1:01Keynote opening
- 1:44Open source vision
- 3:08PyData and SciPy origins
- 5:53Python and SciPy history
- 7:18Open source communities
- 10:47NumPy and SciPy journey
- 16:25Anaconda’s founding
- 18:30QuanSight Labs funding
- 21:20Kwanza Initiative fund
- 23:47Pharaoh Systems sustainability
- 26:17People and cooperation
- 26:37Open Teams intro
- 29:03Open Teams structure
- 31:10Open source employment
- 33:40Open Teams mission
- 35:48REPs and Data APIs funding
- 37:34Iteration and Nabari
- 39:19Packaging with conda-store
- 40:47Community advice
- 41:10Q&A on funding
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