What are the principles of OOP in Python?

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Object-Oriented Programming (OOP) in Python is a programming paradigm based on the concept of objects, which combine data and behavior. Python supports OOP and allows developers to create classes and objects to model real-world entities. The four core principles of OOP in Python are:

1. Encapsulation

Encapsulation is the bundling of data (attributes) and methods (functions) that operate on the data into a single unit: a class. It also means restricting access to some of the object's components, which is done using private or protected variables.

2. Abstraction

Abstraction means hiding complex implementation details and showing only the necessary features of an object. In Python, abstraction is achieved using abstract classes and interfaces (via the abc module).

3. Inheritance

Inheritance allows a class (child) to inherit attributes and methods from another class (parent), promoting code reuse and hierarchy.

4. Polymorphism

Polymorphism means having multiple forms. In Python, it allows different classes to define the same method name, but with different behavior.

Together, these principles help make Python programs more modular, reusable, and easier to maintain.

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