Friday Lightning Talks
summary
Lightning session hits concrete takeaways: Uvicorn + Starlette as a tiny ASGI web toolkit with WebSocket and GraphQL support and minimal dependencies; bloom/cuckoo filters cut storage for 600 million hashed card IDs from ~60 GB to ~500 MB by storing fingerprints only; desktop scripts use notify-send & zenity to show notifications and file/date dialogs from shell or Python; classical ML pipelines reach ~85–87% while a TensorFlow/Keras model reports ~98% on a product classification dataset; a working MicroPython ESP8266 plant-watering rig and cookiecutter repo are available.
AI-written summary · about
chapters (6)
- 0:00Start
- 1:04:49Notify Send
- 1:05:50Gui Utilities
- 1:07:38Deep Learning for Text Processing
- 1:14:00The Psf Scientific Python Grants
- 1:14:56Funding at Developer Meetings
