Keynote – Carol Willing
summary
PyData/NumFOCUS context plus concrete takeaways: a global weather agency runs 255 petabytes of data adding 250 terabytes a day and 400 billion fields, enabling week‑long storm forecasts that cut fatalities in a typhoon that caused roughly $9 billion damage; Jupyter ecosystem reports 5 million notebooks on GitHub and Binder sees millions of launches, JupyterHub scales to tens of thousands and supports MOOCs of 10k+ users; tools like Voila, papermill and Binder enable deploying notebooks, while a glucose‑monitoring outage shows operational risk when services go down.
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chapters (10)
- 0:00Introduction
- 2:20Data science in crises
- 10:19Healthcare data responsibility
- 13:53Small projects to systems
- 17:52Tool selection and reinvention
- 23:40Prototypes to production
- 26:58Iterating and new tools
- 29:49Deploying data solutions
- 33:49Scaling principles
- 36:18Call to action
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