python-project-structure

The best way to structure a Python project involves using a flat hierarchy with separate 'src' and 'tests' directories. This approach ensures clear module boundaries, cohesive code organization, and a scalable directory layout for new libraries.

You define a public API in Python modules by using the `__all__` variable. This explicitly specifies the exported interfaces, ensuring encapsulation and clarity by restricting what external code can import from your module architecture.

Organize Python test files by maintaining a dedicated 'tests' directory that mirrors your source structure. This pattern separates testing logic from application code, keeping your project structure clean and ensuring test file organization remains scalable.

Use layered architecture in Python project organization when building complex applications that need strict separation of concerns. This advanced pattern, alongside domain-driven structure, helps maintain clear boundaries between API, services, and models.

One concept per file in Python module architecture means grouping cohesive functionality into dedicated modules. This fundamental pattern prevents bloated files, enforces clear boundaries, and creates a flat hierarchy that is easier to navigate and maintain.