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As a Python project grows, it should be structured as an installable package instead of a collection of unrelated scripts. Best practices: Use a src layout to avoid import problems and make p...
#1: Initial revision
As a Python project grows, it should be structured as an installable package instead of a collection of unrelated scripts. Best practices: * Use a src layout to avoid import problems and make packaging cleaner. * Organize files by feature or responsibility (for example: authentication, database, API, processing) instead of vague catch-all files like `helpers.py` or `misc.py`. * Keep entry-point scripts separate from business logic. Scripts should only start the program and call functions defined elsewhere. * Add tests early and keep them organized to match the structure of the main code. * Manage dependencies and project metadata with pyproject.toml. * Prefer absolute imports because they are clearer and more reliable. * Avoid over-engineering at the beginning. Start simple and refactor only when clear patterns appear.  The most important principle is to organize around the concepts your code represents, so the project stays easy to understand and maintain as it grows.