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Learn AI with Python · Lesson

Inheritance

Learn how to reuse and extend functionality through inheritance.

Inheritance is a free Learn AI with Python lesson on CoddyKit — lesson 3 of 6. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Learn AI with Python learning path, one of 6 lessons in the course, and your progress syncs across the web and the CoddyKit app.

1

Introduction to Inheritance

Inheritance is a core concept in Object-Oriented Programming (OOP) that allows a class (subclass) to inherit attributes and methods from another class (superclass). It promotes code reuse and makes code more organized.

In this lesson, you’ll learn how to implement inheritance in Python and understand its benefits.

Inheritance — illustration 1

2

Defining a Superclass

A superclass is the base class from which other classes inherit. It is defined like any other class:

# Defining a superclass
class Animal:
    def speak(self):
        print("Animal speaks")

3

4

Creating a Subclass

A subclass inherits attributes and methods from a superclass. To define a subclass, pass the superclass name as a parameter:

# Defining a subclass
class Dog(Animal):
    def speak(self):
        print("Dog barks")

5

Overriding Methods

A subclass can override methods from the superclass to provide specific behavior:

# Overriding methods in a subclass
class Dog(Animal):
    def speak(self):
        print("Dog barks")

animal = Animal()
animal.speak()  # Outputs: Animal speaks

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

6

Using the super() Function

The super() function allows you to call methods from the superclass in the subclass:

# Using super() to call superclass methods
class Dog(Animal):
    def speak(self):
        super().speak()
        print("Dog barks")

7

Multiple Inheritance

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

# Example of multiple inheritance
class Flyer:
    def fly(self):
        print("Flying")

class Swimmer:
    def swim(self):
        print("Swimming")

class Duck(Flyer, Swimmer):
    pass

8

Checking Class Relationships

You can check class relationships using the isinstance() and issubclass() functions.

# Checking class relationships
# Checking if an object is an instance of a class
print(isinstance(Dog(), Dog))  # Outputs: True

# Checking if a class is a subclass of another
print(issubclass(Dog, Animal))  # Outputs: True

9

10

Common Mistakes with Inheritance

Here are some mistakes to avoid:

  • Overriding methods without calling super() when needed.
  • Confusing method resolution order (MRO) in multiple inheritance.
  • Using inheritance when composition might be a better choice.

11

What Did We Learn?

In this lesson, you learned:

  • How to define superclasses and subclasses.
  • How to override methods and use super().
  • How multiple inheritance works in Python.

Great job! Let’s move to the next topic.

Inheritance — illustration 11

Frequently asked questions

Is the “Inheritance” lesson free?

Yes — the full text of “Inheritance” is free to read here on the web, and the Learn AI with Python course includes 6 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Learn AI with Python course, upgrade to CoddyKit PRO.

What will I learn in “Inheritance”?

Learn how to reuse and extend functionality through inheritance. You practise Learn AI with Python with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Learn AI with Python?

No prior experience is required. Learn AI with Python on CoddyKit is structured for beginners through advanced learners; this is — lesson 3 of 6, so you can start here or from the beginning and move at your own pace.

How long does the “Inheritance” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Learn AI with Python lesson?

Yes. Every Learn AI with Python lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Classes and Objects
  2. Attributes and Methods
  3. Inheritance
  4. Polymorphism
  5. Encapsulation and Abstraction
  6. Magic Methods (__str__, __repr__, etc.)
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