Lightning Talks
summary
Morning session assembles a string of concrete projects and outcomes: Probaviz Streamlit app displays decision boundaries, supports 26 classifiers, parses scikit‑learn docs and includes a “nudge” payload to an LLM; a small PyData London engineering team forms to build shared OSS meetup/conference tooling and analytics; Hypothesis tests expose empty‑string and counting bugs during example-driven development; an Obsidian + Cloud workflow standardizes recipes into Markdown with YAML front matter; NumFOCUS launches Give Me Five and collects one‑minute PyData recaps.
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chapters (9)
- 0:00PyData London lightning talks
- 1:05PyData Amsterdam event
- 2:54Probaviz: scikit-learn exploration
- 7:30PyData London engineering tools
- 11:59Hypothesis: property-based testing
- 17:11PyData Hull community lessons
- 19:41Digital cookbook with Obsidian
- 24:58NumFocus Give Me Five
- 28:08Closing remarks
