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Difference Between Class and Object: A Comprehensive Guide

18 Feb 2026
5 min read

Key Highlights of the Blog

  • Explains the difference between class and object with simple, real-world examples.
  • Shows how classes and objects work in Java, Python, and C++.
  • Clarifies how memory, constructors, and methods relate to objects.
  • Connects classes and objects with inheritance, polymorphism, and interfaces.
  • Helps you apply OOP concepts confidently in coding and interviews.

Introduction

Understanding the difference between class and object is the turning point in learning object-oriented programming. Many beginners write code without truly knowing how their programs work behind the scenes.

If you’re using Java, Python, or C++, this confusion can slow your growth and lead to poor design decisions. This concept is not just academic, it affects how you manage memory, reuse code, and build scalable software. 

In this blog, you’ll learn how classes and objects interact, why they matter in real projects, and how they connect to inheritance and polymorphism. By the end, you’ll think like a true OOP developer.

Introduction to Object-Oriented Programming

The core idea of object-oriented programming (OOP) is that "objects" are instances of "classes." This method makes code more understandable and manageable by simulating real-world systems. Encapsulation, abstraction, inheritance, and polymorphism are important OOP tenets.

What is a Class?

In object-oriented programming (OOP), a class is a fundamental concept that serves as a blueprint or template for creating objects. A class defines the structure and behavior that its objects will have, but it does not represent any specific instance by itself.

Key Features of a Class

  1. Blueprint/Template:
    A class acts as a model for real-world entities. It outlines what attributes (also called data members) and behaviors (also called methods or member functions) its objects will possess.
  2. Class Keyword:
    Classes are defined using the class keyword in most programming languages. For example, in Python:
    class Car:
    In Java:
    class Car { }
  3. Constructor Method:
    When an object is formed, a class's constructor method, a unique function, can be used to initialize the object's data members. This is known as the init method in Python and the class-named method in Java.
  4. Access Specifier:
    To improve security and encapsulation, classes can employ access specifiers (such as public, private, or protected) to limit access to their data members and functions.
  5. Data Members:
    These are variables defined inside the class that store the state or properties of an object (e.g., color, speed for a Car class).
  6. Member Functions/Methods:
    These are functions defined within the class that describe the behaviors or actions objects of the class can perform (e.g., drive(), brake()).
  7. Inheritance:
    Because classes allow inheritance, a new class can inherit traits and behaviors from an existing class. Hierarchical linkages and code reuse are encouraged by this.
  8. Reusability:
    Your code becomes more modular and reusable when you define a class once and use it to build several instances.

Example: Class in Python

class Car:
    def __init__(self, color, speed):
        # __init__ method (constructor)
        self.color = color   # data member
        self.speed = speed   # data member

    def drive(self):
        # member function / method
        print(f"The {self.color} car is driving at {self.speed} km/h.")

Example: Class in Java

class Car {

    // Data members
    String color;
    int speed;

    // Constructor
    Car(String color, int speed) {
        this.color = color;
        this.speed = speed;
    }

    // Member function / method
    void drive() {
        System.out.println(
            "The " + color + " car is driving at " + speed + " km/h."
        );
    }
}

Summary of Terms:

  • Blueprint/Template: Model for creating objects.
  • Class Keyword: Used to define a class.
  • Constructor Method / init method: Initializes object’s data.
  • Access Specifier: Controls visibility of class members.
  • Data Members: Variables storing object state.
  • Member Functions/Methods: Functions defining object behavior.
  • Inheritance: Enables new classes to use features of existing ones.
  • Reusability: Classes can be used to create multiple objects.
  • Object-Oriented Programming (OOP): A Paradigm where classes and objects are central.

In conclusion, a class is the fundamental structure of object-oriented programming (OOP) that specifies how objects are constructed and what they can do, making your code more structured, reusable, and manageable.

What is an Object?

In object-oriented programming, an object is a core concept that brings programs closer to real-world modeling. An object is an instance of a class; it is created based on the blueprint defined by a class and represents a specific, tangible item or concept in your code.

Key Characteristics of an Object

  1. Instance of a Class:
    An object is created from a class. While a class defines what attributes and behaviors its objects will have, the object is the actual entity that exists in memory and can be manipulated.
  2. Attributes, Fields, and Data Members:
    Objects have attributes (also called fields or data members) that store information about their current state. For example, an object of a Car class might have attributes like color, model, and speed.
  3. Methods:
    Using methods specified in their class, objects may carry out operations. Methods define an object's behavior by working with its data.
  4. Constructors:
    When an object is created, a constructor is called to initialize its attributes. In Java, this is done with the new keyword; in Python, calling the class name triggers the constructor, and the self parameter refers to the specific object being created.
  5. Memory Allocation:
    When an object is instantiated, memory is allocated to store its attributes and methods. This makes each object a unique entity in the program.
  6. Abstraction:
    By using simple, understandable code structures to represent intricate real-world concepts, objects offer abstraction. They save programmers from worrying about the finer points of implementation, allowing them to concentrate on high-level design.
  7. Real-World Concept:
    In programming, objects are used to symbolize concepts or real-world things. A BankAccount object, for instance, may be a real bank account with a balance and transaction history of its own.

Example: Object in Java

// Defining a class
class Account {

    // Attributes / Fields / Data Members
    String accountHolder;
    double balance;

    // Constructor
    Account(String holder, double bal) {
        accountHolder = holder;
        balance = bal;
    }

    // Method
    void displayInfo() {
        System.out.println(accountHolder + ": " + balance);
    }
}

public class Main {

    public static void main(String[] args) {

        // Creating an object (instance of Account)
        Account acc1 = new Account("Alice", 5000.0); // 'new' keyword allocates memory

        acc1.displayInfo();
    }
}

Example: Object in Python

class Account:

    def __init__(self, account_holder, balance):
        # Constructor with 'self'
        self.account_holder = account_holder   # attribute / data member
        self.balance = balance                 # attribute / data member

    def display_info(self):
        # Method
        print(f"{self.account_holder}: {self.balance}")


# Object creation
acc1 = Account("Alice", 5000.0)

acc1.display_info()

Summary of Terms:

  • Abstraction: Simplifies complex real-world concepts into manageable objects.
  • Attributes/Fields/Data Members: Store object’s state.
  • Constructors: Initialize object’s attributes.
  • Instance of a Class: Each object is a unique instance.
  • Memory Allocation: Happens when an object is created.
  • Methods: Define object’s behavior.
  • New Keyword: Used in Java to create objects.
  • Real-World Concept: Objects model real entities.
  • Self: Python’s way of referring to the current object.
  • State: The current values of an object’s attributes.

In summary, an object is a real, usable entity in programming that combines data and behavior, making it possible to model and manipulate real-world concepts within your code.

Difference Between Class and Object

Aspect Class Object
Definition A class is a blueprint or template used to create objects. An object is a real instance created from a class.
Nature Logical entity that exists only in program design. Physical entity that exists in memory.
Purpose Defines the properties and behaviors of objects. Represents actual data using those properties and behaviors.
Creation Created using the class keyword. Created using a class and a constructor.
Memory Allocation Does not occupy memory for data. Occupies memory for storing values.
Reusability Supports reusable code and can be used multiple times. Reuses the structure defined by the class.
Structure Contains variables (properties) and methods (behaviors). Contains real values for variables and uses methods.
Existence Exists only during program compilation. Exists during program execution.
Relationship Acts as a template for objects. Built using that template.
Example class Student { } Student s1 = new Student();

Summary

A class is a logical blueprint that defines properties and behaviors, while an object is a physical entity that represents real data in memory. Reusable code is supported by classes, and objects make those designs come to life when the program runs.

Examples of Class and Object

In order to assist readers in grasping the practical uses of classes and objects in programming, this section offers illustrated examples.

Example: Account Class and Account Objects

Let’s use a simple banking scenario. We’ll define an account class and create account objects (real instances of the class). Each object will have its own attributes (also called data members) and can use member functions (methods).

Python Example

class Account:
    # Constructor with class arguments
    def __init__(self, account_holder, balance):
        self.account_holder = account_holder   # attribute / data member
        self.balance = balance                 # attribute / data member

    # Member function (method)
    def display_info(self):
        print(f"Account Holder: {self.account_holder}")
        print(f"Balance: {self.balance}")


# Creating account objects (real instances)
acc1 = Account("Alice", 5000.0)
acc2 = Account("Bob", 3000.0)

# Accessing class members and calling member function
acc1.display_info()
acc2.display_info()

Java Example

class Account {

    // Attributes / Data Members
    String accountHolder;
    double balance;

    // Constructor with arguments
    Account(String holder, double bal) {
        accountHolder = holder;
        balance = bal;
    }

    // Member function (method)
    void displayInfo() {
        System.out.println("Account Holder: " + accountHolder);
        System.out.println("Balance: " + balance);
    }
}

public class Main {

    public static void main(String[] args) {

        // Creating account objects (real instances)
        Account acc1 = new Account("Alice", 5000.0); // object name: acc1
        Account acc2 = new Account("Bob", 3000.0);   // object name: acc2

        // Accessing class members and calling member function
        acc1.displayInfo();
        acc2.displayInfo();
    }
}

C++ Example

#include <iostream>
#include <string>

using namespace std;

// Defining the Account class
class Account {

private:
    // Attributes / Data Members
    string accountHolder;
    double balance;

public:
    // Constructor with arguments
    Account(string holder, double bal) {
        accountHolder = holder;
        balance = bal;
    }

    // Member function (method)
    void displayInfo() {
        cout << "Account Holder: " << accountHolder << endl;
        cout << "Balance: " << balance << endl;
    }
};

int main() {

    // Creating account objects (real instances)
    Account acc1("Alice", 5000.0); // object name: acc1
    Account acc2("Bob", 3000.0);   // object name: acc2

    // Accessing class members and calling member function
    acc1.displayInfo();
    acc2.displayInfo();

    return 0;
}

Explanation of Terms

  • account class: The blueprint/template for creating account objects.
  • account acc / account objects / objectname: acc1, acc2, real instances of the class.
  • attributes / data members: Variables like accountHolder and balance that store the state of each object.
  • class arguments: Values passed to the constructor (like "Alice", 5000.0) when creating an object.
  • class members: All attributes and member functions defined in the class.
  • main method: The entry point in Java and C++ where objects are created and used.
  • member functions / method displayinfo: Functions like display_info() (Python), displayInfo() (Java/C++) that define object behavior.
  • real instance of a class: Each object (acc1, acc2) is a separate, usable instance based on the class blueprint.

These examples in Python, Java, and C++ demonstrate how classes define the structure and behavior, while objects are the actual entities you work with in your code—each with its own data and the ability to perform actions using member functions.

Why Understanding These Differences Matters

Knowing the difference between class and object, as well as related concepts, is crucial for:

  • Writing clean, reusable code.
  • Avoiding common programming errors.
  • Leveraging OOP features for better software design.
  • Understanding how memory is managed in your programs.
  • Passing technical interviews and excelling in your programming career.

Conclusion

In summary, the difference between class and object is foundational to object-oriented programming. An object is a real instance made from a class, which is a blueprint. You will be able to produce reliable, manageable, and effective code in any OOP language if you comprehend this as well as the distinctions between inheritance and polymorphism and between class and interface in Java.

Whether you’re working in Java, Python, or another language, mastering these distinctions will set you up for success in software development.

Points to Remember

  1. A class is a blueprint, but an object is a real instance created from that blueprint.
  2. A class does not store actual data values, while an object stores real values in memory.
  3. One class can be used to generate several objects, encouraging modular and reusable programming.
  4. Classes specify behaviors (methods) and properties (variables), and objects employ them to carry out operations.
  5. Comprehending this distinction facilitates the understanding of more complex OOP ideas like inheritance and polymorphism.

Frequently Asked Questions

1. What is the main difference between a class and an object?

An object is a real instance made from a class, which is a blueprint that specifies attributes and actions. The object represents actual data that is saved in memory when a program is running, but the class specifies what an object may have and do.

2. How does memory allocation differ between a class and an object?

A class itself does not allocate memory for data values. Memory is allocated only when an object is created. Each object stores its own copy of the attributes defined in the class.

3. Can you create multiple objects from one class?

Yes, you can create many objects from a single class. Each object will share the same structure (methods and attributes) but can hold different values for its data members.

4. What is the difference between a class and an interface in Java?

A class provides full implementation with data members and methods, while an interface defines only method declarations (until Java 8 default methods). Although a class can extend only one class, it can implement several interfaces.

5. How are class and object concepts different in Python compared to Java?

In both languages, the fundamental idea is the same: an object is an instance, and a class is a template. Nevertheless, Java necessitates explicit type declarations and a more rigid structure, whereas Python is more adaptable and dynamically typed.

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