Practice Generators and Iterators - 3 | Chapter 3: Generators and Iterators | Python Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is an iterator?

💡 Hint: Think about what you would use to loop through a sequence.

Question 2

Easy

How do you declare a generator in Python?

💡 Hint: Remember that it pauses execution at yield.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

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

💡 Hint: Think about the purpose of starting the iteration.

Question 2

True or False: Generators can return multiple values without using the yield keyword.

  • True
  • False

💡 Hint: Remember the role of `yield`.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a generator function that generates prime numbers indefinitely.

💡 Hint: Be mindful of how you identify primes.

Question 2

Construct a data pipeline using multiple generators that process a list of numbers, filtering out even numbers and squaring the remaining.

💡 Hint: Each generator should yield to the next.

Challenge and get performance evaluation