Circular imports occur when two modules depend on each other. To resolve this, restructure your code, use import statements inside functions, or refactor shared code into a third module.

Circular imports in Python happen when two or more modules attempt to import each other, leading to import errors or unexpected behavior. This can often occur in complex applications with intertwined dependencies. To address circular imports, start by analyzing the structure of your code and identifying the circular dependencies. One effective strategy is to refactor shared code into a separate module that both original modules can import. This approach reduces the direct interdependencies between the modules. Alternatively, you can place import statements inside functions or methods rather than at the top of the file. This ensures that the import is executed only when the function is called, preventing circular references during the initial import process. Additionally, consider using forward declarations or type hints to clarify dependencies without creating hard imports. By restructuring your code and being mindful of module dependencies, you can effectively manage and avoid circular imports in your Python projects.