AI Basics with AK

Season 02 - Introduction to Python Programming

Arun Koundinya Parasa

Episode 14

Object Oriented Programming

Agenda

• OOP Definition
• Why OOPs
• OOPs Structure
• Key Principles
• OOPs in Python

OOPs Definition

The object-oriented programming is basically a computer programming design philosophy or methodology that organizes/ models software design around data, or objects rather than functions and logic.

Reference

Why OOPs?

• Easy to Understand
• Re-Use the Code
• Keeping it Organized
• Protecting data
• Flexible
• Fun/Cool

OOPs Structure

Key Principles

Four Important Pillars of OOPs

• Inheritance : Child classes inherit data and behaviors from the parent class
• Encapsulation: Containing information in an object, exposing only selected information
• Abstraction: Only exposing high-level public methods for accessing an object
• Polymorphism: Many methods can do the same task

Reference

OOPs in Python

class Dog:
    def __init__(self, name, breed, age):
        self.name = name
        self.breed = breed
        self.age = age
    
    def bark(self):
        print(f"{self.name} is barking!")
    
    def sit(self):
        print(f"{self.name} is now sitting.")
    
    def display_info(self):
        print(f"Dog Info: Name: {self.name}, Breed: {self.breed}, Age: {self.age}")

# Creating an instance of the Dog class
my_dog = Dog("Buddy", "Golden Retriever", 3)

# Using the methods
my_dog.display_info()
my_dog.bark()
my_dog.sit()

Dog Info: Name: Buddy, Breed: Golden Retriever, Age: 3
Buddy is barking!
Buddy is now sitting.

Thank You