python-project-structure

Structure a Python project by using an explicit directory layout and defining module public APIs with __all__ to separate public surfaces from internal implementations. This approach ensures code is discoverable and refactors remain predictable across libraries and applications.

Organize tests in a Python package by choosing between colocated test directories alongside source modules or parallel test directories at the project root. Each test placement strategy offers distinct trade-offs for import styles and module architecture discoverability.

Use __init__.py to define explicit module exports by leveraging the __all__ variable to list public interfaces, which cleanly separates the public API surface from internal package architecture and prevents unintended access to private modules.

Use a flat layout for simple Python project structures to reduce import complexity, and choose a nested layout for layered architecture or domain-driven organization. Flat layouts suit small libraries, while nested layouts support complex package initialization workflows.

Yes, you can get concrete recommendations for refactoring legacy Python module architecture by evaluating current import styles, defining explicit public interfaces, and reorganizing directory structures without modifying the underlying source code.