Python · Theory

OOPs Concepts in Python

Theory

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OOPs Concepts in Python

OOP means you model the program with classes and objects. Class is the blueprint: Student. Object is one student: s = Student("Asha", 12). Encapsulation keeps data with the methods that use it. Inheritance lets Child reuse Parent. Polymorphism: same method name, different behaviour. Abstraction: show pay() hide the messy steps inside.

Fresher viva: define class vs object, then the four pillars in school English. One everyday word each — Student, BankAccount, Animal/Dog, Shape/Circle. Don’t start with UML.

OOPs Concepts in Python — output — 150. Start 100 + deposit 50. balance lives on the object.

Exam tip

Pillars with one everyday example each.

Example

# OOP
class Account:
    def __init__(self, start):
        self.balance = start
    def deposit(self, amt):
        if amt > 0:
            self.balance += amt

a = Account(100)
a.deposit(50)
print(a.balance)

OOPs Concepts in Python — output: 150. Start 100 + deposit 50. balance lives on the object.

Short notes

DefClass vs object
RuleInheritance / encapsulation
RememberPolymorphism / abstraction

# OOP class Account: def __init__(self, start): self.balance = start def deposit(self, amt): if amt > 0: self.balance += amt a = Account(100) a.deposit(50) print(a.balance)

OOPs Concepts in Python

Example

Short notes

Questions

OOPs Concepts in Python

Example

Short notes

Questions