OOP_Presentation_Enhanced_Updated_with new Topics

Object-Oriented Programming
(OOP) Principles
Technical Interview Preparation
Presented by: [Your Name]

Introduction to OOP
• - OOP is based on 'objects'.
• - Helps design modular, reusable software.
• - Languages: Python, Java, C++.

Four Main OOP Principles
• 1. Encapsulation - Wrapping data and functions into a class.
• 2. Abstraction - Hiding complex details.
• 3. Inheritance - Deriving properties from
another class.
• 4. Polymorphism - One interface, multiple
implementations.

Encapsulation (Data Hiding)
• - Bundles data and methods in one class.
• - Prevents direct data modification.
class Car:
def __init__(self, model):
self.__model = model
def get_model(self):
return self.__model

Abstraction (Hiding Complexity)
• - Shows essential details, hides complexity.
• - Simplifies development.
from abc import ABC, abstractmethod
class Animal(ABC):
@abstractmethod
def make_sound(self):
pass
class Dog(Animal):
def make_sound(self):
return 'Woof!'

Inheritance (Code Reusability)
• - One class inherits attributes/methods from another.
• - Reduces code duplication.
class Animal:
def __init__(self, name):
self.name = name
class Dog(Animal):
def speak(self):
return 'Woof!'

Polymorphism (Multiple Forms)
• - Same function name, different behaviors.
class Animal:
def speak(self):
pass
class Dog(Animal):
def speak(self):
return 'Woof!'
class Cat(Animal):
def speak(self):
return 'Meow!'

OOP vs. Procedural Programming
• - Procedural: Functions and procedures.
• - OOP: Objects and classes.
• - OOP is modular and scalable.

Practical Use of OOP
• - Applications:
• * Game Development
• * Web Applications
• * AI & Data Science
• * Enterprise Software

Conclusion & Questions
• - OOP structures programming.
• - Encourages reusable, maintainable code.
• - Any questions?

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