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1. How does Python's Global Interpreter Lock (GIL) affect multi-threaded programs, and how can it be mitigated?
2. Explain the differences between deep copy and shallow copy in Python. When would you use each?
3. What are Python’s coroutines, and how do they differ from regular functions or generators?
4. How does Python's garbage collection work, and how can you tune it for performance-critical applications?
5. Can you explain Python's method resolution order (MRO) and its importance in multiple inheritance?
6. How can you optimize Python code for speed, particularly in performance-critical applications?
7. What are metaclasses in Python, and how can they be used to control the creation of classes?
8. What is the purpose of Python's `__slots__` mechanism, and how does it improve performance?
9. How do context managers work in Python, and what are some use cases beyond file handling?
10. What is the purpose of Python’s `functools.lru_cache`, and how can it be utilized effectively?
11. Explain the differences between Python's `@staticmethod` and `@classmethod` decorators.
12. How does Python handle method overloading, and how can it be simulated if necessary?
13. What are Python's `__new__` and `__init__` methods, and how do they differ in the object creation process?
14. How can you implement custom iterators and generators in Python, and what are their advantages?
15. Describe the use of the `itertools` module and provide an example of a common use case.
16. What is the role of the `__dict__` attribute in Python, and how can it be used for debugging or introspection?
17. How can Python's `asyncio` module be utilized to manage asynchronous operations, and what are its key components?
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