Code Like hughdbrown (Python)

Consistent Python module structure includes a shebang line, module-level docstring, organized imports (standard library, third-party, local), module constants, a main() function guarded by if __name__ == '__main__', and logging setup. This standardization reduces code review time and improves maintainability across teams.

Organize imports into three groups in order: standard library, third-party packages, and local modules. Each group should be separated by a blank line. This grouping improves readability and makes dependencies explicit, following Python style best practices.

Module docstrings document the module's purpose at the file level, while typing hints clarify function signatures and variable types. Together they reduce onboarding time, catch errors earlier, and enable better IDE support and code navigation.

Adopt a shared style guide covering shebang conventions, docstring formats, import organization, constant naming, main entry point patterns, and logging setup. Applying these guidelines consistently across all modules ensures code is readable, maintainable, and familiar to all team members.

Yes. These guidelines—shebang, module docstrings, import grouping, constants, main patterns, logging, and type hints—apply to new modules and can be incrementally adopted in existing codebases during refactoring or maintenance cycles.

The if __name__ == '__main__': pattern guards the main() function so it only runs when the module is executed directly, not imported. This enables code reuse and makes modules both runnable scripts and importable libraries.