Mastering Advanced Python OOP Concepts interview Questions

1. What are Python metaclasses and how do they control class creation?

2. How does Python's default metaclass (type) work?

3. How can metaclasses in Python enforce standards and add functionality?

4. What are Python mixins and how are they used for code reuse?

5. How does Python's Method Resolution Order (MRO) work in multiple inheritance?

6. How are decorators used with Python classes and methods (@classmethod, etc.)?

Advanced Python Object-Oriented Programming Concepts Explained.

7. Can you create custom decorators for Python class methods? How?

8. What are Python Abstract Base Classes (ABCs) and how do you enforce implementation?

9. What is the purpose of slots in Python classes for memory optimization?

10. What is the difference between new and init in Python object creation?

11. How are design patterns like Singleton, Factory, and Observer implemented in Python OOP?

12. How do Python context managers (with) work with objects?

13. What are Python descriptors and how are they used to manage attributes?

14. How does Python's data model (methods) enable advanced OOP customization?

15. What are the best practices for writing advanced object-oriented Python code?

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