Circular imports occur when two or more modules depend on each other. To prevent this, restructure your code to avoid interdependencies or use import statements within functions instead of at the module level.

Circular imports are a common problem in Python that occur when two or more modules depend on each other, creating a loop in the import statements. This can lead to ImportError and makes the code harder to manage. To prevent circular imports, consider restructuring your code to minimize interdependencies between modules. A good practice is to keep related classes or functions in the same module where possible, thus reducing the need for imports across modules. If it’s necessary to maintain the structure, you can use import statements within functions instead of placing them at the module level. This approach delays the import until the function is called, thus breaking the circular dependency. Additionally, consider using a central module that imports other modules, allowing other modules to refer to the central module rather than directly importing each other. By adopting these strategies, you can effectively manage and prevent circular imports in your Python projects, leading to cleaner and more maintainable code.