Summary  
This chapter explains multiple inheritance, showing how a class can inherit attributes and methods from more than one parent and how Python’s method resolution order resolves conflicts when parents define methods with the same name.  

General domain of usage  
Object-oriented software design

Building on the concept of **class inheritance**, **multiple inheritance** allows a class to **inherit attributes and methods from more than one parent class**. This approach **combines functionalities from different sources** and is especially useful when a class needs **features from distinct origins**, enabling **seamless integration of diverse behaviors**.

Multiple inheritance provides a way to create highly flexible and powerful class structures by combining features from various parent classes. You can now design classes that aggregate diverse capabilities.

What is the main purpose of multiple inheritance?

Learn how to build clean, secure, and scalable applications with Object-Oriented Programming in Python. Cover the fundamentals of classes and objects, then moves into advanced concepts such as inheritance, composition, polymorphism, and encapsulation. With clear explanations and practical examples, you'll develop the ability to design Python programs that are powerful, maintainable, and ready for real-world use.

Learn the core building blocks of object-oriented programming in Python. This section covers classes, objects, methods, and variables, giving you a solid base to understand how OOP organizes and structures code.

Explore how classes can share and extend functionality. You'll learn different inheritance patterns, from simple hierarchies to multiple inheritance and abstract classes, and see how they enable code reuse and scalability.

Discover how to build flexible systems by combining objects. Instead of relying only on inheritance, you'll see how composition lets you assemble behaviors in a modular, adaptable way.

Understand how different objects can share a common interface while behaving in their own way. This section shows how method overriding, interfaces, and protocols make your code more dynamic and reusable.

Learn how to safeguard internal data and control access to class attributes. You'll explore private attributes, getters and setters, and data-hiding techniques that keep your classes secure and maintainable.

Working with Multiple Inheritance

Awesome!

Working with Multiple Inheritance