python-project-structure

Structure a Python project by grouping related code into cohesive modules, defining public APIs with __all__, preferring flat hierarchies, and maintaining consistent test placement. This ensures clear boundaries and a maintainable directory layout.

The best way to define a public API in a Python package is by using explicit __all__ exports. This establishes a stable package surface, clarifies which modules are public, and hides internal implementation details from users.

Set up a Python testing layout by cleanly separating the src/yourpkg/ directory for application code and the tests/ directory for test files. This maintains consistent package boundaries and ensures maintainable directory structures.

Reorganize an existing Python project structure when module responsibilities blur, hierarchies become too deep, or public interfaces are unclear. Applying explicit __all__ exports and flat layouts establishes clear boundaries and improves codebase maintainability.

Flat hierarchies and cohesive modules are used in Python project architecture to group related code with clear responsibilities. This approach prevents deeply nested directories, establishes clear package boundaries, and creates scalable, maintainable layouts.

Yes, this Python module architecture approach applies to both starting fresh projects and reorganizing existing codebases. It plans directory layouts, documents naming conventions, and specifies actionable patterns for cohesive modules and consistent testing layouts.