What is OOP?

Object-Oriented Programming (OOP) is a programming concept based on objects and classes.

It is used to organize code into reusable and structured components.

In simple words:
OOP allows you to model real-world things (like a car, student, bank account) into code.

KEY CONCEPTS OF OOP

There are four main principles of OOP:

1. Encapsulation
2. Abstraction
3. Inheritance
4. Polymorphism

1. CLASS

A class is a blueprint for creating objects.

Example:

class Student:
    pass

2. OBJECT

An object is an instance of a class.

class Student:
    passs1 = Student()
print(type(s1))

Here, s1 is an object of the Student class.

REAL-WORLD EXAMPLE

Think of a class as a blueprint of a house.
An object is the actual house built from that blueprint.

WHY USE OOP?

• Organizes large programs
• Makes code reusable
• Improves readability
• Helps manage complex projects
• Used in real-world applications

SIMPLE EXAMPLE WITH ATTRIBUTES

class Student:
    def __init__(self, name, age):
        self.name = name
        self.age = ages1 = Student("Hira", 22)print(s1.name)
print(s1.age)

Here:

• __init__ is a constructor
• self refers to the current object
• name and age are attributes

EXAMPLE WITH METHODS

class Student:
    def __init__(self, name):
        self.name = name    def greet(self):
        print("Hello, my name is", self.name)s1 = Student("Ali")
s1.greet()

Methods are functions inside a class.

OOP VS PROCEDURAL PROGRAMMING

Procedural	OOP
Uses functions	Uses classes & objects
Less structured for big projects	Highly structured
Harder to maintain large systems	Easier to manage large systems

WHERE OOP IS USED

• Web development
• Game development
• Desktop applications
• Mobile apps
• Enterprise software

KEY TAKEAWAY

OOP is a programming approach that uses classes and objects to structure code in a clear, reusable, and real-world manner.

It is one of the most important concepts in Python and modern programming.