Stories in Code
summary
Early‑2024 data show 50% of astronomy papers and 20% of arXiv papers contain matplotlib figures, demonstrating huge real impact; a proof‑of‑concept interactive matplotlib served over HTTP using FastAPI + websockets is implemented and a massive rewrite branch is merged right before the keynote. The talk emphasizes concrete maintainer practices: code review that preserves project story, a gradient of open‑source maturity for governance, and active defenses against an automated PR flood and targeted harassment, with at least one maintainer publishing detailed postmortems.
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chapters (17)
- 0:00Introduction and welcome
- 3:15Acknowledgements and personal journey
- 5:22Magic, metaphors and code
- 8:09Community as fanfiction
- 11:17Impact of Matplotlib on science
- 12:00Maintaining open source projects
- 13:05Code review and storytelling
- 17:15Code quality and context
- 19:02Stories about people and AI
- 22:41Language models and storytelling
- 24:50Ethics and human choices in tech
- 25:11Demo of interactive Matplotlib tool
- 26:15Challenges in open source maintenance
- 29:04Human connection in contributions
- 30:28Writing process and AI tools
- 31:52Community spirit and legacy
- 33:16Conference rules and closing
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