Summary  
This chapter explains the composition concept in object-oriented programming, where a class contains instances of other classes (has-a relationship) to build complex, modular objects with loose coupling, contrasting it with inheritance’s is-a relationship.  

General domain of usage  
Object-oriented software design.

**Composition** represents a **has-a relationship**, where a class contains an instance of another class instead of inheriting from it. For example, a **Car has an Engine**. This differs from **inheritance**, which models an **'is-a' relationship**, such as a **Truck is a Vehicle**.

You should use composition when you need **flexible parts**, **clear boundaries**, and **runtime replacement** of behavior. **Prefer inheritance** when a **true is-a** hierarchy is obvious and stable.


Note

What is the main benefit of using composition?

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.

Introduction to Composition

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Introduction to Composition