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Practical guide and templates for fast, reliable Python CI/CD: uv-based installs, matrix testing, dependency caching, parallel jobs, reusable workflows, and PyP
Provides a comprehensive cookbook for optimizing Python GitHub Actions workflows. It documents uv-based fast installs, dependency caching, matrix strategies across Python versions and OSes, parallelization patterns, reusable workflows and composite actions, and publishing pipelines to PyPI.
Activate this skill when setting up or improving CI/CD for Python projects: to speed up builds with uv, add robust matrix testing, implement reliable caching, split tests by job type, or standardise publishing and coverage reporting. Useful for maintainers who want repeatable, fast pipelines.
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