Understanding OOPS in Python | Object-oriented programming (OOP) is a programming paradigm

Object-oriented programming (OOP) is a programming paradigm that uses objects and classes to structure code. Objects are self-contained entities that contain data and behavior. Classes are blueprints for creating objects. OOP is a popular programming paradigm because it offers a number of advantages, including: Code reuse: OOP allows you to reuse code by creating classes and objects. This can make your code more efficient and easier to maintain. Encapsulation: OOP allows you to encapsulate data and behavior within objects. This helps to protect your data from accidental modification and makes your code more modular. Abstraction: OOP allows you to abstract away the implementation details of objects. This makes your code easier to understand and maintain. Polymorphism: OOP allows you to implement polymorphism, which means that different objects can respond to the same message in different ways. This makes your code more flexible and extensible. Understanding OOP in Python Python is a fully object-oriented programming language. This means that everything in Python is an object, including numbers, strings, lists, and dictionaries. To create a class in Python, you use the class keyword. The class definition specifies the name of the class and its attributes and methods. For example, the following code defines a class called Car: Python class Car: def __init__(self, make, model, year): self.make = make