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Clean Architecture with Python
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In Chapter 2 we explored the SOLID principles and their application in Python, establishing a foundation for maintainable and flexible code. Building on this, we now turn to a powerful feature in Python: type hinting.
While Python’s dynamic typing offers flexibility, it can sometimes lead to unexpected errors in complex projects. Type hinting provides a solution, combining the benefits of dynamic typing with the robustness of static type checking.
This chapter explores how type hinting enhances Clean Architecture implementations, making code more self-documenting and less error-prone. We’ll see how type hints support SOLID principles, particularly in creating clear interfaces and reinforcing the Dependency Inversion Principle.
We’ll begin with the role of type awareness in Python’s dynamic environment, then delve into practical aspects of Python’s typing system. Finally, we’...