For large Python projects, maintaining architectural cleanliness poses significant challenges, primarily manifested in the difficulty of preserving simple and clear dependencies between modules. Complex dependencies lead to high architectural comprehension costs, blurred module responsibilities, and other issues that ultimately impact team development efficiency.
This presentation will share insights on how to govern module dependencies in Python projects and maintain their cleanliness, covering both tools and techniques.