Clean Code & code-quality skills for Python and ML/MLOps.
Apply Clean Code and code-quality best practices when writing, refactoring, or reviewing Python and ML/MLOps code: SOLID principles, clean code rules, design patterns, ML-specific quality (data leakage, reproducibility, configuration), and tooling (ruff, black, mypy, pytest, pre-commit).