python-project-structure

Organize your Python project structure by defining clear module boundaries and using a flat, scalable directory layout. This approach prevents tangled imports by enforcing explicit public APIs through the __all__ attribute, ensuring codebase scalability and smoother collaboration.

The best way to define a public API in a Python module is by explicitly listing exposed interfaces using the __all__ attribute. This establishes clear module boundaries, preventing internal implementation details from leaking and keeping your Python project structure maintainable.

Set up a new Python project skeleton by creating a src/ directory for your library code and a separate tests/ directory. This src layout enforces clean packaging boundaries and pairs with an explicitly documented public API for scalable library development.

Yes, you can refactor existing Python codebases by migrating to a flat src layout and defining explicit module boundaries. Applying explicit public interfaces with __all__ during the refactoring process clarifies dependencies and restores architectural clarity to tangled projects.

Yes, this Python project structure approach applies across small to large codebases. Enforcing explicit public interfaces and a flat directory layout ensures that your module architecture remains scalable and clear whether you are starting small or expanding an existing library.

You should avoid a flat directory layout if your Python project does not require strict module boundaries or explicit public APIs. Projects with highly nested, domain-specific architectures might find enforcing a flat src layout and __all__ interfaces unnecessarily rigid.