python-project-structure

Organize Python project structure by enforcing clear module boundaries, flat directory hierarchies, and explicit public APIs using __all__. This minimizes accidental exposure and reduces cognitive load, making codebases more navigable and maintainable.

Define a public API in a Python module by using the __all__ variable to explicitly list exported names. This enforces module cohesion, clarifies import boundaries, and prevents internal functions from being accidentally exposed to external consumers.

Lay out tests in a Python project structure by applying consistent naming and flat hierarchies alongside the source code. Enforcing a standardized testing layout improves import clarity and keeps test boundaries aligned with module architecture.

Yes, this Python project structure approach works for refactoring existing libraries and developing new ones. It applies practical patterns for file organization, package initialization, and domain-driven structuring to define clear module boundaries.

Use flat hierarchies in Python projects to reduce cognitive load and improve import clarity for standard applications. Adopt layered or domain-driven structuring for larger projects where explicit module boundaries and complex file organization are required.