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Describe the key principles of object-oriented programming (OOP) in Python.



Object-Oriented Programming (OOP) is a programming paradigm that is widely used in Python and many other modern programming languages. OOP is based on the concept of objects, which represent real-world entities, and it provides a structured way to organize and manage code. In Python, OOP is implemented through classes and objects. Here are the key principles of OOP in Python: 1. Classes and Objects: - Classes: In Python, a class is a blueprint for creating objects. It defines the properties (attributes) and behaviors (methods) that the objects of the class will have. Classes act as a template or prototype for creating instances (objects) of that class. - Objects: Objects are instances of a class. They represent specific instances of the class with their unique attributes and behaviors. You can create multiple objects from a single class, each with its own state and behavior. 2. Encapsulation: - Encapsulation is the concept of bundling data (attributes) and the methods (functions) that operate on that data into a single unit, i.e., a class. It restricts direct access to some of the object's components and prevents unintended interference and modification of the data. In Python, encapsulation is achieved using private and protected access specifiers, deno....

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