From rigid to flexible: rethinking inheritance and interfaces in Python
As we’ve explored the Single Responsibility, Open–Closed, and Interface Segregation Principles, we’ve built a foundation for creating modular, extensible, and focused code. These principles guide us in structuring our classes and interfaces to be more maintainable and adaptable. Now, we turn our attention to the Liskov Substitution Principle (LSP), which complements and reinforces the principles we’ve discussed.
While SRP guides us in creating focused, cohesive classes, OCP allows us to extend our code without modifying existing components, and ISP promotes the creation of specific, client-tailored interfaces. LSP ensures that our abstractions are well-formed, and our components are truly interchangeable. This principle is crucial for creating robust, flexible systems by ensuring that our inheritance hierarchies behave predictably.
In the context of Clean Architecture, LSP plays...
