1. What is the purpose of metaclasses in Python, and how do you create one?
2. How do you implement method resolution order (MRO) in Python using the C3 linearization algorithm?
3. Explain the difference between a classmethod and a staticmethod in Python.
4. How do you use descriptors in Python, and what are their practical applications?
5. What are context managers, and how do you create one using the __enter__ and __exit__ methods?
6. How do you implement a custom context manager using the contextlib module?
7. Explain the concept of decorators in Python and how they can be used to modify class behavior.
8. What is the purpose of the functools.wraps decorator, and how does it help when writing decorators?
9. How do you implement a singleton pattern using metaclasses?
10. What are coroutines, and how do they differ from regular functions in Python?
11. How do you use asyncio for asynchronous programming in Python?
12. Explain the concept of async and await keywords and how they are used with coroutines.
13. What are the differences between threading, multiprocessing, and asyncio for concurrency in Python?
14. How do you share state between threads safely in Python?
15. What are the implications of the Global Interpreter Lock (GIL) on multi-threaded applications in Python?
16. How do you implement a producer-consumer pattern using threading in Python?
17. What is the role of the queue module in Python threading?
18. How do you implement a thread-safe singleton class in Python?
19. What are Python generators, and how do they improve memory efficiency?
20. How do you use the yield keyword in Python to create a generator function?
21. What are the advantages of using yield from in a generator function?
22. How do you implement a generator expression in Python?
23. What is the significance of the itertools module, and what are some common functions it provides?
24. How do you implement memoization in Python to optimize recursive functions?
25. What is the purpose of the functools.lru_cache decorator, and how does it work?
26. How do you create custom exceptions in Python?
27. What is the difference between checked and unchecked exceptions in Python?
28. How do you raise exceptions in Python, and how can you define exception hierarchies?
29. Explain the concept of monkey patching and its potential pitfalls.
30. How do you implement logging in Python, and what are its best practices?
31. What is the purpose of the logging module, and how do you configure it?
32. How do you implement a logging handler to send logs to external systems?
33. What are some common strategies for managing configuration settings in a Python application?
34. How do you read and write configuration files in formats like JSON or YAML in Python?
35. What is the role of dataclasses in Python, and how do they simplify class definitions?
36. How do you use the dataclass decorator, and what are its parameters?
37. Explain the concept of type hints and how they improve code quality in Python.
38. How do you use the typing module to define complex types in Python?
39. What are the differences between List, Tuple, and Dict from the typing module?
40. How do you implement a generic function in Python using type variables?