Python importlib, Metadata, Resources, and Plugins Cheat Sheet
Use importlib for dynamic imports, installed distribution metadata, package resources, cache invalidation, and entry-point plugin discovery with safe boundaries.
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Organize, package, test, instrument, and distribute maintainable Python projects.
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Use importlib for dynamic imports, installed distribution metadata, package resources, cache invalidation, and entry-point plugin discovery with safe boundaries.
Open cheat sheetConfigure reliable Python logging with hierarchy, handlers, context, exception tracebacks, filters, structured events, and safe operational practices.
Open cheat sheetOrganize Python code with modules, packages, imports, module execution, search paths, public APIs, relative imports, and importlib resources.
Open cheat sheetStructure, build, install, and publish Python projects with isolated environments, pyproject.toml metadata, reproducible dependencies, and safe release workflows.
Open cheat sheetStructure deterministic Python tests with unittest cases, fixtures, subtests, exception assertions, mock patching, autospecs, call verification, and temporary resources.
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