Summary  
This chapter explains how dictionaries store only key-value data while classes serve as blueprints that encapsulate both attributes and methods, allowing code to bundle state and behavior together in objects.  

General domain of usage  
Object-oriented programming

A **dictionary** groups data with **key-value pairs**, focusing only on **storing information** in a **simple structure**. A **class**, on the other hand, is a **blueprint for creating objects**, bundling both **data (attributes)** and **behaviors (methods)** to define them together. For example, a dictionary might hold a pet's **name, breed, and age**, but it's still just a **collection of key-value pairs** without any **inherent behavior**.


The core problem of a dictionary is that it only stores data without providing any behavior.

pet_dict = {"name": "Buddy", "age": 3}

class Pet:
    def __init__(self, name, age):
        self.name = name
        self.age = age
    def speak(self):
        return f"{self.name} says woof!"

my_dog = Pet("Buddy", 3)

print(pet_dict["name"])
print(my_dog.speak())

The class bundles both the data and the `speak` method, demonstrating how classes provide structure for organizing attributes and behavior together.

Which statement best explains the difference between a dictionary and a class?

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.

Comparing Classes and Dictionaries