OOps in Python

“OOps in Python” stands for Object-Oriented Programming, and it’s a programming paradigm that is widely used in Python. In object-oriented programming, software is organized into objects, which are instances of classes in OOps in Python. OOps in Python Classes define the structure and behaviour of objects, and objects can interact with each other through well-defined interfaces and OOps in Python.

OOps in Python supports object-oriented programming and provides features to create classes, objects, and encapsulate data and behaviour. Here are some key concepts related to OOP in Python:

Classes and Objects:

A class is a blueprint for creating objects. It defines the attributes (data) and methods (functions) that the objects of the class will have OOps in Python.
An object is an instance of a class. It represents a specific data structure with its own unique data and behaviour.

Attributes are variables that store data specific to an object. They define the object’s characteristics or properties.
Methods are functions defined within a class. They define the object’s behavior or actions.

Attributes and Methods:

Encapsulation is the concept of bundling data (attributes) and the methods that operate on the data into a single unit (a class). It hides the internal details of an object and exposes a public interface for interaction.

Inheritance allows a class to inherit attributes and methods from another class. It promotes code reuse and the creation of a hierarchy of classes.

Polymorphism enables objects of different classes to be treated as objects of a common base class. It allows methods to be defined in a generic way that can be overridden in derived classes.
Here’s a simple example of defining a class in Python:

Copy code
class Person:
def init(self, name, age):
self.name = name
self.age = age

def greet(self):
    return f"Hello, my name is {self.name} and I am {self.age} years old."
  • Creating an object of the Person class

person1 = Person(“Alice”, 30)

  • Accessing attributes and calling methods

print(person1.name) # Output: “Alice”
print(person1.greet()) # Output: “Hello, my name is Alice and I am 30 years old.”
In this example, we define a Person class with attributes (name and age) and a greet method. We then create an object of the Person class and interact with it.

Python’s support for object-oriented programming allows for structuring code in a way that promotes modularity, reusability, and maintainability. It’s a powerful paradigm for building complex software systems.

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