Python Composition vs Inheritance to Separate Responsibilities
The principle "favor composition over inheritance" holds that object responsibilities should be separated using composition (a "has-a" relationship, where independent classes are combined and delegate to one another) rather than inheritance (an "is-a" relationship, where a class hierarchy of superclasses and subclasses is built). Inheritance introduces the strongest form of coupling in object-oriented programming because subclasses become directly dependent on their superclass's implementation, and using it to separate multiple orthogonal responsibilities produces a combinatorial explosion of subclasses; abstract base classes mitigate this by letting dependents rely on an interface rather than a concrete implementation, which is why abstract base classes reduce coupling while plain inheritance increases it. This concept belongs to object-oriented software design principles, specifically class relationship modeling and coupling/cohesion management as embodied in the Gang of Four design patterns.
Python Composition vs Inheritance to Separate Responsibilities
The principle "favor composition over inheritance" holds that object responsibilities should be separated using composition (a "has-a" relationship, where independent classes are combined and delegat…