Saturday: Lightning Talks
summary
Quick-fire demos and concrete takeaways: a Jupyter notebook boots a parallel cluster and scales to 8 engines for load‑balanced tasks; a hand‑built actor system implements EPMD in Python to link nodes and send messages; a Lego‑block Git rebase/merge model clarifies conflict resolution; checklist for picking databases, infra and DR practices; a prime‑number trick encodes anagram checks; a Python extension claims 300,000 downloads with debugging and testing features; notes on publishing to PyPI, Cloud9 browser IDE, identity fields for forms, audio‑modem at ~19 kHz, and an Elegant SciPy book in Jupyter.
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chapters (17)
- 0:00Lightning talk introduction
- 1:01Parallel processing in cloud
- 4:27Scalable actors in Python
- 9:43Git as lego blocks
- 13:40Infrastructure and scaling
- 17:15Housekeeping and announcements
- 17:54Elegant string searches
- 22:33VS Code for Python
- 27:58Katie conf and diversity
- 33:04Package management with PyPI
- 37:50Cloud 9 IDE demo
- 39:23Identity and software design
- 44:46Transition to web development
- 50:10High-risk audio demo
- 53:35Conference logistics
- 56:05Human indexing strategies
- 1:00:50Elegant SciPy algorithms
