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

# What is an initializer?

As the name suggests, the **initializer** is used to *initialize* an object of a class. It's a special method that outlines the steps that are performed when an object of a class is created in the program. It's used to define and assign values to instance variables.

The initialization method is similar to other methods but has a pre-defined name, `__init__`.

> The double underscores mean this is a special method that the Python interpreter will treat as a special case.


The initializer is a special method because it **does not have a return type**. The first parameter of `__init__` is `self`, which is a way to refer to the object being initialized.

It is always a good practice to define it as the first member method in the class definition.

# Defining initializers

Initializers are called when an object of a class is created. See the example below: 


Explore the world of initializers and learn why they are necessary for a class.

Introduction to Object-Oriented Programming

Classes and Objects

Information Hiding

Exam 1

Inheritance

Polymorphism

Object Relationships

Exam 2

Initializing Objects

What is an initializer?