In Python, iterators are objects used to iterate over iterable collections like lists, tuples, and dictionaries. This quiz will test your understanding of iterator behavior, __iter__(), __next__(), and real-world usage patterns in Python.
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Which function is used to get an iterator from an iterable?
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Question 3 of 15
3. Question
What does the next() function do?
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Question 4 of 15
4. Question
Which of the following is iterable but not an iterator?
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Question 5 of 15
5. Question
What happens when next() is called after the iterator is exhausted?
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Question 6 of 15
6. Question
What is the output of this code?
it = iter([10, 20]) print(next(it)) print(next(it))
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Question 7 of 15
7. Question
Which of these makes a custom object iterable?
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Question 8 of 15
8. Question
Can a Python for loop run without __next__()?
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Question 9 of 15
9. Question
What is the use of StopIteration in custom iterators?
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Question 10 of 15
10. Question
What does this code do?
iter(5)
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Question 11 of 15
11. Question
Which statement is true about iterators in Python?
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Question 12 of 15
12. Question
What does the following code print?
nums = [1, 2, 3] it = iter(nums) for i in it: print(i) for i in it: print(i)
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Question 13 of 15
13. Question
How do you make your class both iterable and iterator?
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Question 14 of 15
14. Question
Which of these is a lazy iterator?
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Question 15 of 15
15. Question
Why are iterators memory-efficient?
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Summary
Python iterators are fundamental to understanding how loops and generators work behind the scenes. These MCQs help you grasp the inner workings of __iter__(), __next__(), and memory efficiency in real-world iteration scenarios.
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