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Python class names follow the CapWords convention, ensuring code is readable, maintainable, and professional for teams and solo developers.
Object-oriented programming in Python relies on class relationships like association, where classes connect without strong ownership, enabling flexible and maintainable design.
Regular classes require manual boilerplate code; dataclasses reduce redundancy with decorators. Use dataclasses for simple data storage and regular classes for complex behaviors.
The Factory Pattern simplifies object creation, especially when the exact class isn't known until runtime. It enhances flexibility and maintainability in software design.
The Book class in Python manages library books with instance methods like checking out or returning, operating on individual book instances with attributes like title, author, and status.
Discover the fundamentals of Python OOP: classes and objects, inheritance, encapsulation, and polymorphism for scalable and efficient code organization.
Optimize memory and performance in Python classes using slots, which replaces the default attribute dictionary, reducing overhead and speeding up access.
Python's @classmethod decorator allows methods to operate on the class itself, not just instances, enabling alternative constructors and class-level functionality.
Static methods in Python help organize code within classes by grouping utility functions that don't need access to instance or class data.
Class docstrings should clearly explain the class's purpose, usage, and key methods to help developers understand and use it effectively.