Async: scaling structured concurrency with static and dynamic analysis
summary
Covers structured concurrency in Python async programming—why it helps with error handling, timeouts, cancellation, and readability—and how to address cooperative-concurrency pitfalls where a single slow task can stall the program. Demonstrates static analysis using flake8-trio and building custom AST-based linters, plus dynamic analysis techniques to detect issues that static checks miss.
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chapters (5)
- 0:00Start
- 5:271. async python is cooperative concurrency
- 8:322. dynamic analysis problem solved?
- 9:27structured concurrency
- 19:21static analysis & codemods
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