Decoupling for flexibility: inverting dependencies in Python
Upon exploring LSP and its role in creating robust abstractions, we’ve seen how it contributes to the flexibility and maintainability of our Python code. Now let’s turn our attention to the final piece of the SOLID puzzle: the Dependency Inversion Principle (DIP).
DIP serves as a capstone to the SOLID principles, tying together and reinforcing the concepts we explored in the previous principles. It provides a powerful mechanism for structuring the relationships between different components of our system, further enhancing the flexibility and maintainability we’ve been building throughout our journey through SOLID.
While LSP ensures that our abstractions are well-formed and substitutable, DIP focuses on how these abstractions should relate to one another. It guides us in creating a structure where high-level modules aren’t dependent on low-level modules, but both depend on abstractions...
