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Most Common Asked Questions In The Python Technical Inverview #python , #pythontutorial , #pythoninterviewquestions , #pythonprogramming
00:00 - Introduction.
00:10 - Question 1: What makes Python so powerful for professionals?
01:06 - Question 2: How does Python handle memory management?
02:05 - Question 3: Explain Python’s Global Interpreter Lock (GIL).
03:04 - Question 4: What are Python namespaces and how do they work?
04:03 - Question 5: What’s the difference between deep copy and shallow copy?
05:02 - Question 6: What is the difference between @staticmethod, @classmethod, and instance methods?
06:01 - Question 7: What are metaclasses in Python?
07:00 - Question 8: How does Python handle multithreading?
07:59 - Question 9: What is the difference between iterators and generators?
08:58 - Question 10: What are Python closures and why are they useful?
09:57 - Question 11: How do you handle concurrency and parallelism in performance-sensitive Python applications?
10:56 - Question 12: What is the difference between @property and normal methods?
11:55 - Question 13: How is memory optimized in Python?
12:54 - Question 14: Explain Python’s exception hierarchy.
13:53 - Question 15: How do you design memory-efficient and scalable data structures in Python?
14:52 - Question 16: What’s the role of _slots_ in Python classes?
15:51 - Question 17: How does Python manage package dependencies?
16:50 - Question 18: How do you interface Python with C/C++ for performance-critical code?
17:48 - Question 19: What is monkey patching in Python?
18:47 - Question 20: What’s the difference between deepcopy and pickling?
19:46 - Question 21: How do you optimize Python code performance?
20:45 - Question 22: What is the difference between mutable and immutable objects?
21:44 - Question 23: What are Python descriptors?
22:43 - Question 24: How does Python handle asynchronous programming?
23:42 - Question 25: How do you implement design patterns in Python?

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