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OOP in Python helps organize code with objects, making it reusable and maintainable as projects grow, even though it's optional.
Learn effective strategies to optimize Python classes for better performance and memory efficiency in applications.
Polymorphism in Python allows objects from different classes to be treated as objects of a shared superclass, enabling flexible and reusable code. It's a key OOP concept meaning "many forms."
Testing Python classes ensures correct initialization, method behavior, and predictable object interactions for reliable and maintainable code.