Practice Introduction - 3.1 | 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?

πŸ’‘ Hint: Think about how we traverse lists or tuples.

Question 2

Easy

What keyword is used to define a generator?

πŸ’‘ Hint: It's a word that's also a verb for giving something.

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 does an iterator implement to be considered valid?

  • __iter__() and __next__()
  • __start__() and __stop__()
  • __begin__() and __end__()

πŸ’‘ Hint: Remember the method names start with double underscores.

Question 2

True or False: Generators can be defined using the 'yield' statement.

  • True
  • False

πŸ’‘ Hint: Think about how generators work differently from normal functions.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create an iterator class that generates Fibonacci numbers up to n. Explain how the internal state is managed.

πŸ’‘ Hint: Think about how to keep track of previous values.

Question 2

Design a generator that sends and receives data, maintaining a count of received inputs until a specific input is given, then returns the total.

πŸ’‘ Hint: How do you start the generator and maintain its state with send?

Challenge and get performance evaluation