Python OOP organises code into objects and classes, making programs easier to reuse, scale, and manage.
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Python Object-Oriented Programming (OOP) is a programming approach that organises code into objects, reusable units that bundle both data (attributes) and functions (methods). This makes programs easier to build, understand, and maintain. Key concepts in Python OOP include classes, objects, inheritance, encapsulation, polymorphism, and abstraction. By using OOP, developers can model real-world systems, reuse code efficiently, and build scalable applications from small scripts to large software systems.
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