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Clean Architecture with Python
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In the realm of Clean Architecture, the role of a robust type system extends far beyond simple error prevention. It serves as a powerful tool for expressing and enforcing architectural boundaries, supporting key principles such as abstraction, polymorphism, and dependency inversion. Python’s typing system, when leveraged effectively, becomes an invaluable asset in implementing these crucial concepts.
As we start to consider more advanced features of Python’s typing system, we’ll see how they can significantly enhance our Clean Architecture implementations. These features allow us to create more expressive and precise interfaces between different layers of our application, leading to code that is not only more robust but also more self-documenting and maintainable.
In this section, we’ll explore a range of typing features, from type aliases and union types to literal and TypedDict types. We’ll then...