Python projects can be challenging to manage as they grow in complexity. One way to overcome this is by structuring your code and project directories to make it easier to navigate and maintain the project. This includes organizing your code into modules, using consistent naming conventions, and utilizing version control systems like Git. Additionally, using tools like pip for dependency management, virtual environments for isolating dependencies, commenting code for readability, testing with automated tests, linting and styling with Ruff or Flake8, packaging to share with others, and structuring your project into a neat folder structure with key files such as `README.md`, `setup.py` or `pyproject.toml`, `tests/`, and `src/`. By following these best practices, you can make your Python projects more manageable, maintainable, and scalable.