python-project-structure

You define a public API in Python by assigning module names to the __all__ list, explicitly exposing stable interfaces while keeping internal implementation details hidden from users.

The best way to structure a scalable Python project is establishing clear module boundaries with focused responsibilities and adopting a flat src/ layout to support package growth and team reuse.

Organizing Python modules during a legacy refactor requires defining clear module boundaries with focused responsibilities and applying explicit public APIs to make the codebase predictable and testable.

You need to use __all__ in Python module architecture when designing reusable packages that require a predictable public API, ensuring stable interfaces are exposed while internal modules remain hidden.

A flat directory structure works for large Python packaging by enforcing clear module boundaries and explicit public APIs, which collectively support scalability and reuse across multiple development teams.

Using a src/ layout for Python project packaging separates package code from configuration files, preventing import errors and ensuring the explicit public API defined by __all__ functions predictably during testing.