Tread Lightly When Building and Testing Your Python Project
summary
Promises of “examples” aside this shows concrete results: linters and installers that actually cut feedback loops and CI cost. Ruff: 10–100× (sometimes 1000×) faster than comparable linters, enabling local pre-commit use instead of waiting for CI and UV: resolver/installer optimized for warm caches, shrinking build and sync times drastically. Case studies cite Home Assistant and Airflow reducing build hours and pii bandwidth by applying caching, shared containers, and reduced repeated work.
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chapters (9)
- 0:00Welcome
- 1:05Meet speakers
- 3:55Time and resource costs
- 7:26Python runtime optimizations
- 11:55Faster developer loops
- 18:37Open source contributor experience
- 23:11CI resource savings
- 33:03CI impact on downloads
- 37:15Q&A
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