python-project-structure

To structure a Python project for scalable APIs, design flat directory layouts with cohesive modules, define explicit public interfaces using __all__, and enforce layer separation to ease navigation and maintenance.

The best way to define a public API in a Python module is by assigning an explicit list of public object names to the __all__ variable in your package initialization files, ensuring clear module boundaries and controlled exports.

Organize Python package initialization by placing __init__.py files in core modules to define exports, and structure your test placement to mirror the source directory layout, ensuring long-term maintainability and straightforward navigation.

Yes, you can reorganize an existing Python codebase by applying patterns for module cohesion, flat hierarchies, and explicit public APIs to resolve unclear boundaries and improve overall onboarding and maintainability.

You should define __all__ in your Python package initialization files whenever you need to establish a clear public interface, prevent internal module leakage, and enforce strict boundaries for scalable project architectures.