python-project-structure

To organize Python modules for scalability, separate directories by function, maintain flat directory structures, and apply explicit interface definitions to expose clean public APIs and simplify future troubleshooting.

You expose a clean public API in a Python module by defining the `__all__` variable, which explicitly dictates the list of public interfaces exported and prevents internal modules from leaking into the namespace.

When building a Python library, you should use directory conventions that enforce layering, flat module naming, and clear code separation to arrange modules, directories, and tests for robust project organization.

Yes, this approach to Python project organization works for reorganizing existing codebases by applying best practices in module naming, directory flatness, and explicit interface definitions to achieve code clarity and scalability.

Defining explicit interfaces when organizing Python code is necessary to mandate adherence to best practices, ensuring clean module separation, accessible public APIs, and maintainable directory layouts for collaboration.