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Inheritance

“Inheritance is the process of creating a new class (child) that inherits attributes and methods from an existing class (parent), thereby promoting code reuse.” Purpose & Benefits:
  • Code reuse and DRY principle.
  • Hierarchical and extensible design.
Examples: Minimal Example: 
class Animal:
    def speak(self):
        print("Animal speaks")

class Dog(Animal):
    def speak(self):
        print("Woof!")

class Cat(Animal):
    def speak(self):
        print("Meow!")

pets = [Dog(), Cat()]
for pet in pets:
    pet.speak()
Realistic Example: 
import math

class Shape:
    def area(self):
        raise NotImplementedError

class Circle(Shape):
    def __init__(self, r):
        self.r = r
    def area(self):
        return math.pi * self.r * self.r

class Rectangle(Shape):
    def __init__(self, w, h):
        self.w, self.h = w, h
    def area(self):
        return self.w * self.h

shapes = [Circle(5), Rectangle(2, 3)]
for shape in shapes:
    print(shape.area())

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When to use Inheritance?

Inheritance is particularly useful in the following scenarios:
  • Whenever we encounter an ‘is-a’ relationship between objects, we can use inheritance.
  • When multiple classes share common attributes or methods, a superclass can define them once, allowing all subclasses to inherit them and avoid duplication.
  • When classes form a natural hierarchy, such as Animal being a parent to Dog and Cat, inheritance organizes the structure clearly.

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Drawbacks of Inheritance

While Inheritance promotes code reuse, its overuse can complicate designs. Here are the key drawbacks to consider:
  • Tight coupling: Subclasses depend heavily on their superclass. Changes to the super-class, such as modifying the Animal class’s eat) method, can break subclasses like Dog or Cat, making the code harder to maintain.
  • Inappropriate behavior inheritance: Inheritance can force subclasses to inherit behaviors that don’t apply. For example, adding a fly() method to the Animal superclass assumes all subclasses (e.g., Penguin) can fly, leading to errors or awkward workarounds like throwing exceptions.
  • Limited flexibility: Inheritance locks in relationships at design time. If you later need a RobotDog that barks but doesn’t eat, it can’t inherit from Animal without inheriting irrelevant methods. To address these issues, consider alternatives like composition (combining objects) or in-terfaces, which offer flexibility and loose coupling