Practice Generators And Iterators (3) - Chapter 3: Generators and Iterators

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6 sample questions

Question 1.
What is an iterator?
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Think about what you would use to loop through a sequence.
Question 2.
How do you declare a generator in Python?
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Remember that it pauses execution at yield.
3Question 3.
What is the purpose of the __iter__() method in an iterator?
- To return the next item
- To return the iterator itself
- To signal the end of iteration
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Think about the purpose of starting the iteration.
4Question 4.
True or False: Generators can return multiple values without using the yield keyword.
- True
- False
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Remember the role of `yield`.
Question 5.
Create a generator function that generates prime numbers indefinitely.
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Be mindful of how you identify primes.
Question 6.
Construct a data pipeline using multiple generators that process a list of numbers, filtering out even numbers and squaring the remaining.
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Each generator should yield to the next.

6 more questions in this section. Enroll free to practise them all.