Understanding Python Inheritance: A Beginner’s Guide

Contents

    Inheritance is a core concept in object-oriented programming (OOP) used in Python to create a new class from an existing class. The new class inherits attributes and methods from the existing class.


    Step 1: Understand What Inheritance Is

    Inheritance allows a class (called child or subclass) to acquire all the properties and behaviors (methods) of another class (called parent or superclass). This promotes code reuse and makes it easier to create and maintain an application.

    Example:

    python
    class Animal:
    def speak(self):
    print(“Animal speaks”)

    class Dog(Animal):
    pass

    dog = Dog()
    dog.speak() # Output: Animal speaks


    Step 2: Identify a Common Problem – The Child Class Doesn’t Access Parent’s Methods or Attributes

    Problem Example:

    You define a subclass, but when you try to call a method or access an attribute from the parent class, it raises an AttributeError or behaves unexpectedly.

    python
    class Animal:
    def init(self):
    self.name = “Animal”

    class Dog(Animal):
    def init(self):

        self.breed = "Labrador"

    dog = Dog()
    print(dog.name) # AttributeError: ‘Dog’ object has no attribute ‘name’

    Why?

    Because the child class’s __init__ method overrides the parent’s __init__, and if you don’t explicitly call the parent’s __init__, its initialization code won’t run.


    Step 3: Fix the Problem by Using super()

    In Python, to inherit and extend parent behavior, you should use super() to call the parent class’s method.

    Fix the example:

    python
    class Animal:
    def init(self):
    self.name = “Animal”

    class Dog(Animal):
    def init(self):
    super().init() # Correctly call parent init
    self.breed = “Labrador”

    dog = Dog()
    print(dog.name) # Output: Animal
    print(dog.breed) # Output: Labrador


    Step 4: Understand Method Overriding and Calling Parent Methods

    Sometimes you want the child class to modify or extend parent’s method behavior, not completely replace it.

    Example:

    python
    class Animal:
    def speak(self):
    print(“Animal speaks”)

    class Dog(Animal):
    def speak(self):
    print(“Dog barks”)

    dog = Dog()
    dog.speak() # Output: Dog barks

    If you want to extend the parent’s method instead of fully overriding:

    python
    class Dog(Animal):
    def speak(self):
    super().speak() # Call parent method
    print(“Dog barks”)

    dog = Dog()
    dog.speak()


    Step 5: Multiple Inheritance – How to Handle It

    Python supports multiple inheritance where a class can inherit from more than one superclass:

    python
    class Father:
    def skills(self):
    print(“Gardening”)

    class Mother:
    def skills(self):
    print(“Cooking”)

    class Child(Father, Mother):
    def skills(self):
    super().skills() # Will call Father’s skills due to MRO

    child = Child()
    child.skills() # Output: Gardening

    If you want to call both methods explicitly, you need to call them individually:

    python
    class Child(Father, Mother):
    def skills(self):
    Father.skills(self)
    Mother.skills(self)

    child = Child()
    child.skills()


    Step 6: Common Errors and How to Fix Them

      1. AttributeError: When an attribute is missing because parent’s __init__ wasn’t called
        Fix: Make sure to use super().__init__() inside child’s __init__.
      1. TypeError: super() argument 1 must be type, not XYZ
        Fix: Use super() without arguments in Python 3 or ensure you provide correct parameters in older versions.
      1. Method Resolution Order (MRO) Confusion:
        Check the order Python searches for methods using:
        python
        print(Child.mro)

    Step 7: Best Practices

      • Always call super() in overridden special methods like __init__.
      • Use inheritance to model “is-a” relationships (e.g., Dog is a Animal).
      • Use composition or delegation for “has-a” relationships instead.
      • Keep inheritance hierarchies simple and shallow if possible.
      • Use super() to maintain consistent behavior across multiple inheritance.

      • Inheritance allows a child class to reuse code from a parent class.
      • Always call super().__init__() when overriding __init__ to ensure parent attributes initialize.
      • Use super() to extend methods without rewriting them completely.
      • Understand multiple inheritance and Python’s Method Resolution Order.
      • Debug common errors by checking calls to parent methods and using super() correctly.
    Updated on July 11, 2025
    Was this article helpful?

    Leave a Reply

    Your email address will not be published. Required fields are marked *