Python Container Optimization

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This skill provides expert patterns for building production-ready Python containers, specifically focusing on reducing image sizes from ~1GB down to as little as 80MB. It guides users through critical nuances of Python containerization, such as avoiding Alpine's compatibility issues with native extensions, implementing multi-stage builds to isolate build dependencies, and leveraging high-performance tools like uv to accelerate development workflows while significantly reducing security vulnerabilities.

Características Principales

• 3 GitHub stars
• Support for modern package managers including uv, Poetry, and Pipenv
• Expert guidance on avoiding Alpine-specific musl libc compatibility issues
• Secure non-root user configuration and dependency path management
• Multi-stage build templates for ultra-slim Python runtime images
• Framework-specific patterns for FastAPI, Django, and Flask applications

Casos de Uso

• Reducing container image pull times and storage costs in CI/CD pipelines
• Accelerating local development builds by optimizing Docker layer caching for Python dependencies
• Hardening production security by minimizing the container attack surface and CVE count