Lightning Talks
summary
A set of short demos shows concrete tools and results: a notebook diff that strips metadata and renders succinct comparisons so a 200‑cell file nbdime in-browser diff actually works for binary outputs; a depersonalization library that uses a Hunspell-based whitelist to remove names, phones and emails; a prototype that loads and compiles WebAssembly modules executed in-process and calls back into Python; lightweight experiments using LDA on GitHub READMEs with spaCy and scikit‑learn and a grocery hackathon baseline that predicts next baskets by returning the last basket with F1 scoring.
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chapters (8)
- 0:00Lightning Talks intro
- 0:25Diffing Jupyter notebooks
- 3:36Text depersonalization
- 8:08Why WebAssembly
- 12:08Open source barriers
- 17:05GitHub stars management
- 21:27Grocery hackathon
- 23:22Closing remarks
