Lightning Talks
summary
Forty rapid demos deliver concrete outcomes not vows: Torch Geo wraps PyTorch for geospatial ML with a Jupyter segmentation demo that hides CRS handling; a fintech stack runs search on Postgres plus pgvector holding hundreds of thousands of embeddings via full scans; an earthquake citizen network uses low‑cost Raspberry Pi sensors streaming live data on port 16000 into an open web app; an impact‑based flood forecast pipeline uses geopandas and recalibrated rainfall validated by social media; a Strapi misconfiguration yields remote code exec via an unclaimed superadmin producing a root shell and other practical builds and libs.
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chapters (18)
- 0:00Lightning Talks intro
- 1:06Torch for geospatial ML
- 6:12Python in fintech
- 14:51Citizen science earthquake detection
- 18:47Power of Python's print
- 23:24Celestial mechanics in Python
- 28:25Python for mobile apps
- 31:38Sustaining tech communities
- 36:15Python Software Foundation
- 41:18Bug bounty hunting with Python
- 45:10Ortholinear keyboards for wrists
- 46:12Machine learning basics
- 49:46Python on Android with Termux
- 53:21Philippine health AI projects
- 55:30Flood forecasting with Python
- 1:00:10Python conferences in Asia
- 1:01:58Document automation with Python
- 1:05:35Tech for grassroots impact
