What Is Mean Object Oriented Programming?


Heather Bennett

In the world of programming, there are several paradigms that developers use to create robust and efficient software. One of the most popular paradigms is Object-Oriented Programming (OOP). OOP is a programming approach that revolves around the concept of objects, which can contain data and code to manipulate that data.

What is an Object?

An object is a fundamental building block in OOP. It represents a real-world entity with its own characteristics (known as attributes) and behaviors (known as methods).

For example, consider a car object. The attributes of a car could include its color, model, and year, while the methods could include starting the engine or accelerating.

Classes: The Blueprint for Objects

In OOP, objects are created from classes. A class serves as a blueprint or template for creating objects with similar properties and behaviors.

It defines what attributes an object will have and what actions it can perform. Think of a class as a cookie cutter and objects as cookies that are made using that cutter.

To define a class in JavaScript, you can use the class keyword followed by the name of the class:

    class Car {
        constructor(color, model, year) {
            this.color = color;
            this.model = model;
            this.year = year;
        startEngine() {
            console.log("Engine started!");
        accelerate() {

    const myCar = new Car("red", "Tesla", 2021);

Encapsulation: Data Hiding and Abstraction

Encapsulation is a key principle in OOP that promotes data hiding and abstraction. It allows objects to control access to their internal state (data) and expose only the necessary information to the outside world. By encapsulating data, we can prevent direct manipulation of an object’s properties from outside the class.

In the example above, the attributes color, model, and year are encapsulated within the Car class. They can only be accessed or modified through methods like startEngine() and accelerate().

Inheritance: Reusing Code

Inheritance is another important concept in OOP that enables code reuse. It allows a class to inherit properties and methods from another class called a superclass or parent class. The class that inherits from a superclass is known as a subclass or child class.

To demonstrate inheritance, let’s consider an additional class called ElectricCar:

    class ElectricCar extends Car {
        chargeBattery() {
            console.log("Battery charging.");

    const myElectricCar = new ElectricCar("blue", "Nissan Leaf", 2022);

The ElectricCar class inherits all the attributes and methods of the Car class. It also introduces its own method, chargeBattery(). This way, we can reuse existing code while extending functionality.

Polymorphism: Many Forms

Polymorphism allows objects of different classes to be treated as objects of a common superclass. This means that a method in the superclass can be overridden in the subclass to provide different implementations. The specific implementation used is determined by the actual object at runtime.

For example, consider the following code snippet:

    class Animal {
        makeSound() {
            console.log("Animal makes a sound.");

    class Dog extends Animal {
        makeSound() {
            console.log("Dog barks!");

    class Cat extends Animal {
        makeSound() {
            console.log("Cat meows!");

    const animals = [new Dog(), new Cat()];
    animals.forEach(animal => animal.makeSound());

In this example, both Dog and Cat classes inherit from the Animal class and override the makeSound() method. When we call makeSound() on each animal object, it invokes the appropriate implementation based on its actual type.


In summary, Object-Oriented Programming is a powerful programming paradigm that allows developers to design software using objects, classes, encapsulation, inheritance, and polymorphism. These concepts help create modular, reusable, and maintainable code.

OOP provides an organized and efficient way to develop complex applications by breaking them down into smaller, manageable entities. By utilizing these concepts effectively, developers can write cleaner code that is easier to understand and maintain.

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