Panel: Building a Stronger Open Source Python Data Community
summary
Panel lists concrete tools and actions: nbdev and quarto for literate workflows, black and rough for code quality, and Hamilton for pipeline opinions. It names funding routes—GitHub Accelerator, grants and NumFOCUS fiscal sponsorship—and debates licensing and open‑core tradeoffs. Practical fixes include write docs and tag issues, provide one‑step setup scripts, and experiment with ChatGPT to explain code rather than blind copy‑paste. This is tactical, not just high‑level.
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chapters (7)
- 0:00Welcome
- 4:09Python ecosystem trends
- 22:16Open source funding challenges
- 36:04Sustainable open source models
- 43:48Encouraging contributions
- 50:30AI tools impact
- 1:00:06Q&A
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