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OOP Concepts Overview

Object-Oriented Programming (OOP) is a programming paradigm that organizes software using objects and classes, emphasizing modularity and reusability. Key concepts include objects, classes, data abstraction, encapsulation, inheritance, polymorphism, and dynamic binding, which together facilitate the modeling of real-world entities and enhance code flexibility. OOP allows for efficient code management by grouping related data and methods, promoting code reuse and adaptability.

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0% found this document useful (0 votes)
6 views3 pages

OOP Concepts Overview

Object-Oriented Programming (OOP) is a programming paradigm that organizes software using objects and classes, emphasizing modularity and reusability. Key concepts include objects, classes, data abstraction, encapsulation, inheritance, polymorphism, and dynamic binding, which together facilitate the modeling of real-world entities and enhance code flexibility. OOP allows for efficient code management by grouping related data and methods, promoting code reuse and adaptability.

Uploaded by

suranmaity17
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Introduction to Object-Oriented Programming (OOP)

What is Object-Oriented Programming?


Object-Oriented Programming (OOP) is a programming paradigm that uses objects and classes to

structure software in a way that models real-world entities. It emphasizes modularity, reusability, and

organization of code by grouping related variables (data) and functions (methods) together.

Objects
Objects are instances of classes. They represent real-world entities with state and behavior. For

example, a 'Car' object may have attributes like color and speed, and behaviors like drive() and

brake().

Classes
A class is a blueprint for creating objects. It defines a data structure and the functions that operate

on the data. For example:

class Car:

def __init__(self, color):

self.color = color

def drive(self):

print('Driving')

Data Abstraction
Data Abstraction means exposing only essential features while hiding the implementation details.

For example, when you use a TV remote, you interact with the interface without knowing the internal

workings.
Data Encapsulation
Encapsulation is the concept of wrapping data and the methods that operate on the data within one

unit. It restricts direct access to some of an object's components. Example:

class Account:

def __init__(self, balance):

self.__balance = balance # private attribute

def get_balance(self):

return self.__balance

Inheritance
Inheritance allows a class to inherit properties and methods from another class. It promotes code

reuse. Example:

class Vehicle:

def move(self):

print('Moving')

class Car(Vehicle):

def honk(self):

print('Beep!')

Polymorphism
Polymorphism means the ability to take many forms. It allows methods to do different things based

on the object. Example:


class Dog:

def speak(self):

print('Bark')

class Cat:

def speak(self):

print('Meow')

def make_sound(animal):

animal.speak()

Dynamic Binding
Dynamic binding refers to the process of resolving method calls at runtime rather than compile-time.

It allows for more flexible and extensible code through polymorphism.

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