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Best Practices: Python OOP
Introduction
Object-oriented programming (OOP) is a programming paradigm that utilizes objects and their interactions to design applications and computer programs. In Python, OOP concepts are realized through classes and objects.
OOP proves beneficial as it facilitates the creation of reusable and modular code, thereby enhancing development efficiency and maintainability. Moreover, OOP enables the encapsulation of data and methods, fostering a clear structure for organizing code and enhancing code readability. Additionally, OOP supports inheritance, enabling the derivation of new classes from existing ones, thereby minimizing code duplication and encouraging code reuse.
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Object-oriented programming (OOP) is a programming paradigm that utilizes objects and their interactions to design applications and computer programs. In Python, OOP concepts are realized through classes and objects.
OOP proves beneficial as it facilitates the creation of reusable and modular code, thereby enhancing development efficiency and maintainability. Moreover, OOP enables the encapsulation of data and methods, fostering a clear structure for organizing code and enhancing code readability. Additionally, OOP supports inheritance, enabling the derivation of new classes from existing ones, thereby minimizing code duplication and encouraging code reuse.