LIghtning Talks
summary
Quick, specific signal: demos and numbers matter. See a live Keras demo that learns y = x^2 in a few lines and compares TensorFlow code size; watch a data workflow tool (DigDag) that runs locally or in cloud; hear the MyShake project with 200,000+ smartphone installs and ~200 recorded earthquakes and the on‑phone neural net plus cloud clustering; inspect tooling like Snakeviz profiling and AlphaSheets with Python-in-cell spreadsheets; note the claim of ~4.5M Python for Windows downloads/month.
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chapters (18)
- 0:00Welcome to Lightning Talks
- 1:06Deep learning with Keras
- 5:33Jokes and Python on Windows
- 6:36Digdag workflow management
- 11:32Python history and Windows
- 12:12MyShake seismic network
- 17:09Water utility analytics
- 18:39Python Windows downloads
- 21:46Biology experiments with Python
- 27:56Alpha Sheets spreadsheets
- 32:30Python 3 vs Python 2 on Windows
- 34:15Profiling Python with SnakeViz
- 38:29GitHub org analytics
- 44:26Python 3.6 and OCaml intro
- 51:15Testing Python 3.6
- 51:59Open Source Software journal
- 57:49NumFOCUS community
- 1:04:39Closing remarks
