Summary  
This chapter introduces classes as blueprints for objects that encapsulate properties and methods, showing how bundling data and behavior into objects creates modular, reusable code.  

General domain of usage  
Game development

**Objects** serve as the foundation of OOP, enabling the modeling of **real-world entities** directly in code. This approach makes programs more **intuitive**, **reusable**, and **well-organized**. By leveraging Python's object-oriented features, developers can build software that closely **mirrors real-world structures and behaviors**, resulting in cleaner and more maintainable solutions.

The core concepts of **Object-Oriented Programming (OOP)** include **objects**, **classes**, **properties**, and **methods**.

- 🔑 Instances of classes;
- 🧩 Have their own properties and methods;
- ♻️ Multiple can be created from the same class.

Objects

- 📝 Act as templates for objects;
- 🏗️ Define structure and behavior;
- 🎨 Can create many similar objects.

Classes

- 📊 Store object data;
- 🔄 Can be changed;
- 🎯 Unique to each instance.

Properties

- ⚡ Define object behavior;
- 🎮 Can interact with properties;
- 🔄 Make objects interactive.

Methods

What describes the relationship between classes and objects in OOP?

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.

Introduction to OOP Concepts