python-project-structure

You can make your Python project's public API explicit by defining the `__all__` variable in your modules. This ensures clear module boundaries and cohesive design, improving discoverability and maintainability for libraries and applications.

The best way to organize a scalable directory structure for a Python package is to place the package under `src/`, include `__init__.py` files, and add a `tests/` directory. This flat structure supports cohesive module architecture.

You need to use `__all__` in your Python module architecture when defining a public API for a library. It establishes explicit public interfaces, ensuring module cohesion and clear boundaries for users importing your package.

Yes, you can apply these project structure and API design principles to refactor an existing Python codebase. By enforcing single-responsibility patterns and explicit public interfaces, you improve discoverability and maintainability.

Yes, a flat, scalable directory structure works for both applications and libraries. By placing the package under `src/` and maintaining clear module boundaries, you ensure consistent packaging and testing practices across different project types.