python-package-structure-planner

Plan a Python package structure by separating reusable library modules from app-specific code, defining top-level package names, and setting explicit module boundaries to maximize reusability and ensure clean imports.

The best way to separate reusable library code is to identify distinct library surfaces, define strict package names, and isolate shared utilities. This approach clarifies import rules and keeps app-specific logic from contaminating reusable modules.

Plan Python package entrypoints and versioning by organizing the codebase around a defined package shape. Clarify import rules and shared utility placement to satisfy requirements for clear packaging, test planning, and successful distribution.

Python project imports become brittle as the codebase scales due to tangled codebases lacking defined module boundaries. Fix this by identifying reusable library surfaces and establishing clear public interfaces and import rules.

Yes, you can apply this scalable approach to an existing tangled Python project. Identify reusable library surfaces, redefine module boundaries, and establish clear public interfaces to untangle imports and support reuse.