Code With Python
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This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
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"Data Structures & Algorithms using Python"

This book covers all types of data structures from Arrays to Graphs. Simple to complex algorithms. 💯 FREE.

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Topic: Python Classes and Objects — Basics of Object-Oriented Programming

Python supports object-oriented programming (OOP), allowing you to model real-world entities using classes and objects.

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Defining a Class

class Person:
def __init__(self, name, age):
self.name = name
self.age = age

def greet(self):
print(f"Hello, my name is {self.name} and I am {self.age} years old.")


---

Creating Objects

person1 = Person("Alice", 30)
person1.greet() # Output: Hello, my name is Alice and I am 30 years old.


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Key Concepts

Class: Blueprint for creating objects.

Object: Instance of a class.

__init__ method: Constructor that initializes object attributes.

self parameter: Refers to the current object instance.

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Adding Methods

class Circle:
def __init__(self, radius):
self.radius = radius

def area(self):
return 3.1416 * self.radius ** 2

circle = Circle(5)
print(circle.area()) # Output: 78.54


---

Inheritance

• Allows a class to inherit attributes and methods from another class.

class Animal:
def speak(self):
print("Animal speaks")

class Dog(Animal):
def speak(self):
print("Woof!")

dog = Dog()
dog.speak() # Output: Woof!


---

Summary

• Classes and objects are core to Python OOP.

• Use class keyword to define classes.

• Initialize attrinitith __init__ method.

• Objects are instances of classes.

• Inheritance enables code reuse and polymorphism.

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#Python #OOP #Classes #Objects #ProgrammingConcepts
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