Work with the pillars of OOP in Python, including classes, inheritance, and polymorphism.

Python for Programmers

In this module, we’ll learn to write cleaner, more modular, and more scalable code in Python by gaining mastery in object-oriented programming (OOP). We'll start with the basics of object-oriented programming and move to more advanced concepts such as inheritance, information hiding, and polymorphism. Along the way, we'll learn how each concept applies to Python in particular, as well as how various Python features make it particularly convenient for OOP. This module has hands-on coding challenges, playgrounds, snippets, and illustrations to keep things interactive.

Object-Oriented Programming in Python

**Aggregation** follows the **Has-A** model. This creates a parent-child relationship between two classes, with one class owning the object of another.

So, what makes aggregation unique? 

## Independent lifetimes

> In **aggregation**, the lifetime of the owned object does not depend on the lifetime of the owner.

The owner object could get deleted, but the owned object can continue to exist in the program. In aggregation, the parent only contains a **reference** to the child, which removes the child's dependency.

**Aggregation** follows the **Has-A** model. This creates a parent-child relationship between two classes, with one class owning the object of another.

So, what makes aggregation unique? 

# Independent lifetimes

> In **aggregation**, the lifetime of the owned object does not depend on the lifetime of the owner.

The owner object could get deleted, but the owned object can continue to exist in the program. In aggregation, the parent only contains a **reference** to the child, which removes the child's dependency.

Get familiar with a new way of linking different classes.

Introduction to Object-Oriented Programming

Classes and Objects

Information Hiding

Inheritance

Polymorphism

Object Relationships

Conclusion

Aggregation