Python, a versatile and powerful programming language, supports object-oriented programming (OOP) paradigms. At the core of OOP in Python are classes and objects, which provide a structured way to organize and model complex systems. In this blog post, we will explore the concepts of classes and objects in Python, their relationship, and how they enable code reusability and modularity.

What are Python Classes?

A class in Python is a blueprint or template that defines the attributes (data) and behaviors (methods) of objects. It serves as a blueprint for creating multiple instances of objects with similar characteristics. Python Classes in Pune encapsulate data and related functions, allowing for clean and modular code organization.

Defining a Class:

In Python, classes are defined using the classkeyword, followed by the name of the class. Let's take a simple example of a Personclass:

fff; --tw-ring-color: rgba(69,89,164,.5); --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-shadow: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-shadow-colored: 0 0 transparent; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; margin-top: 1.25em; margin-bottom: 1.25em; background-color: rgb(247, 247, 248);">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.")