Practice Generators And Generator Functions (3.3) - Chapter 3: Generators and Iterators

Practice: Generators and Generator Functions

Lesson 3.3Generators and Iterators

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10 questions

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6 sample questions

Question 1.
What is a generator in Python?
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Think about iterators and how they work.
Question 2.
How do you start executing a generator function?
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What does 'next()' do in general?
3Question 3.
What is the purpose of the 'yield' keyword in Python?
- To exit a function
- To return a value and pause execution
- To create a class
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Think about what happens when a function uses 'yield' versus 'return'.
4Question 4.
True or False: Generators are memory-efficient because they compute all values at once.
- True
- False
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How does a traditional list differ from a generator?
Question 5.
Create a generator that yields the Fibonacci sequence indefinitely. How would you modify it to stop if the number exceeds a certain limit?
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Consider the logic of the Fibonacci sequence and how to use two previous values to create the next.
Question 6.
Write a generator that takes a list and yields only the even numbers. How would you then use 'yield from' to handle a second list of numbers?
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Think about how you can create stages in your data processing pipelines.

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