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.

cpp17.tar.gz

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

**Composition** is the practice of accessing other class objects in your class. In such a scenario, the class which creates the object of the other class is known as the *owner* and is responsible for the lifetime of that object.

Composition relationships are **Part-of** relationships where the *part* must constitute a  segment of the whole object. We can achieve composition by adding smaller parts of other classes to make a complex unit.

But what makes composition so unique? 

> In composition, the lifetime of the owned object depends on the lifetime of the owner. 

# Example

A `car` is composed of an *engine*, *tires*, and *doors*. In this case, a `Car` owned these objects, so a `Car` is an *Owner* class, and the `tires`, `doors`, and `engine` classes are *Owned* classes. 

Learn how to achieve composition in Python.

Introduction to Object-Oriented Programming

Classes and Objects

Information Hiding

Exam 1

Inheritance

Polymorphism

Object Relationships

Exam 2

Composition