Gain insights into writing cleaner, modular, and scalable Python code through Object-Oriented Programming. Dive into inheritance, polymorphism, and more with coding challenges and illustrations.

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Learn to write cleaner, more modular, and more scaleable code in Python by gaining a master of Object Oriented Programming (OOP). 

You'll start with the basics of object oriented programming and build up to more advanced concepts such as inheritance, information hiding, and polymorphism. Along the way you'll learn how each concept applies to Python in particular, as well as how various Python features make it particularly convenient for OOP.

This course is filled with hands-on coding challenges, playgrounds, snippets, and illustrations to keep things interactive.

Learn Object-Oriented Programming in Python

We can add new data and methods to a class through inheritance. But what if we want our derived class to inherit a method from the base class and have a different implementation for it? That is when polymorphism, a fundamental concept in the OOP paradigm, comes into play.


# Example

Consider the example of a `Shape` class, which is the base class while many shapes like `Rectangle` and `Circle` extending from the base class are derived classes. These derived classes inherit the `getArea()` method and provide a shape-specific implementation, which calculates its area.

Implement polymorphism using the OOP concepts.

Introduction to Object-Oriented Programming

Classes and Objects

Information Hiding

Exam 1

Inheritance

Polymorphism

Object Relationships

Exam 2

Implementing Polymorphism Using Inheritance

Example