Inheritance and Polymorphism in Python: Extending Classes


Welcome to the fascinating world of Python programming! In this article, we’ll explore two powerful concepts that form the backbone of object-oriented programming (OOP) in Python: Inheritance and Polymorphism. These concepts are like magic wands for developers, allowing them to create efficient, reusable, and flexible code. So, let’s embark on this journey of discovery.

Understanding Inheritance

What is Inheritance?

Inheritance is like passing down family traits, but in the coding realm. It lets us create a new class, known as the child class, based on an existing one, the parent class. The child class inherits the attributes and behaviors of the parent, making code reuse a breeze.

How to Use Inheritance?

Let’s break it down. You have a parent class:

class ParentClass:
    def say_hello(self):
        print("Hello from the parent!")

Now, create a child class that inherits from it:

class ChildClass(ParentClass):
    def say_hi(self):
        print("Hi from the child!")

The child class can use the say_hello method from the parent:

my_child = ChildClass()
my_child.say_hello()  # Outputs: Hello from the parent!

Benefits of Inheritance

  1. Code Hand-Me-Downs: You get to reuse code without writing it all over again.
  2. Easy Updates: Changes to the parent class automatically apply to all its children.
  3. Super Flexibility: You can extend and customize the inherited code in your child class.

For more on Inheritance, check out Python Documentation.

Understanding Polymorphism

What is Polymorphism?

Polymorphism is like having a universal remote for different TVs. It allows objects of different types to be treated as objects of a common type. In Python, this can be achieved through method overloading and overriding.

Method Overloading in Simple Terms

Imagine you have a calculator:

class Calculator:
    def add(self, a, b):
        return a + b

    def add_three(self, a, b, c):
        return a + b + c

You can add two or three numbers:

my_calculator = Calculator()
result1 = my_calculator.add(1, 2)          # Adds two numbers
result2 = my_calculator.add_three(1, 2, 3)  # Adds three numbers

Method Overriding in Plain English

Consider a shape class:

class Shape:
    def area(self):
        pass  # Just a placeholder

Now, create a circle class that overrides the area method:

class Circle(Shape):
    def __init__(self, radius):
        self.radius = radius

    def area(self):
        return 3.14 * self.radius * self.radius

Benefits of Polymorphism

  1. One Size Fits All: You can treat different objects as if they’re the same type.
  2. Readability Boost: Code becomes more straightforward and easier to understand.
  3. Update Harmony: Changes to a method in the parent class reflect in all its children.

For more on Polymorphism, visit GeeksforGeeks.

Combining Inheritance and Polymorphism

The real magic happens when we bring these two concepts together. Let’s create an example with an animal hierarchy:

class Animal:
    def speak(self):
        pass  # Placeholder method

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

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

# A function embracing polymorphism
def animal_sound(animal):
    return animal.speak()

Now, let’s play with our polymorphic function:

my_dog = Dog()
my_cat = Cat()

print(animal_sound(my_dog))  # Outputs "Woof!"
print(animal_sound(my_cat))  # Outputs "Meow!"

This showcases the power of polymorphism—treating different animals uniformly through a common interface.

Going Beyond the Basics

As you dive deeper into Python programming, you’ll encounter more advanced concepts and applications of inheritance and polymorphism. These include abstract classes, interfaces, and design patterns that make your code even more efficient and elegant.

Abstract Classes

Abstract classes in Python provide a blueprint for other classes. They cannot be instantiated and often contain abstract methods that must be implemented by their child classes. This adds an extra layer of structure to your code.

Here’s a quick example:

from abc import ABC, abstractmethod

class Shape(ABC):
    def area(self):

class Circle(Shape):
    def __init__(self, radius):
        self.radius = radius

    def area(self):
        return 3.14 * self.radius * self.radius

In this snippet, Shape is an abstract class, and Circle is forced to implement the area method.


Interfaces provide a contract for classes to follow. A class that implements an interface must provide concrete implementations for all the methods defined in that interface. While Python doesn’t have a native interface keyword, the concept can be achieved through abstract classes or external libraries.

Design Patterns

Design patterns are proven solutions to recurring problems in software design. They provide templates for solving problems in a way that’s both efficient and maintainable. Some common design patterns related to inheritance and polymorphism include the Factory Pattern, Strategy Pattern, and Observer Pattern.

For a deeper understanding of these advanced concepts, you can explore Real Python and Stack Overflow.


Inheritance and polymorphism are like the dynamic duo of Python programming. They empower developers to write cleaner, more modular code that’s easy to understand and maintain. By building on existing classes and treating different objects uniformly, you open the door to a world of possibilities in software development.

So, go ahead, experiment with these concepts, and let your Python code inherit the power of simplicity and flexibility.


Q1: Can a class inherit from multiple classes in Python?

Yes, Python supports multiple inheritance, allowing a class to inherit attributes and methods from more than one parent class. However, developers should exercise caution to avoid ambiguity and potential issues in the class hierarchy. For more on multiple inheritance, check out Real Python.

Q2: How does polymorphism contribute to code maintainability?

Polymorphism enhances code maintainability by allowing developers to modify or extend the behavior of a method in the parent class, and these changes are automatically reflected in all its child classes. This ensures consistency and reduces the risk of errors during maintenance. For additional insights, visit Stack Overflow.

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