python-project-structure

Structure a Python project by establishing clear module boundaries and explicit public interfaces. Using a flat directory structure under src with cohesive packages makes navigation and imports easier, reducing maintenance overhead.

The best way to organize Python modules is applying flat hierarchies and defining explicit public APIs via __all__. Specifying __all__ controls exports precisely, ensuring only intended interfaces are exposed to external consumers.

Refactor a Python codebase by reorganizing into cohesive modules with flat directory structures and explicit exports. Enforcing clear module boundaries and consistent naming during refactoring reduces vagueness and speeds up onboarding.

You need to use __all__ in Python package architecture when establishing explicit public interfaces. It defines exactly what modules export, preventing unintended access to internal code and clarifying the public API for consumers.

A flat directory structure supports scalable Python code organization by simplifying navigation and imports. Keeping hierarchies flat avoids deeply nested packages, making the codebase easier to maintain as the project grows.

Your Python project has vague public interfaces and slow onboarding due to unclear module boundaries. Fixing this requires organizing code into cohesive packages and explicitly defining exports to clarify the codebase structure.