Practice Key Points - 3.2.4 | Chapter 3: Generators and Iterators | Python Advance
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Key Points

3.2.4 - Key Points

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the iter() method do in an iterator?

💡 Hint: Think about what an iterator needs to provide to be iterable.

Question 2 Easy

Can you explain what yield does?

💡 Hint: Consider what happens to function execution when yield is used.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What method is called to get the next item from an iterator?

next()
iter()
stop()

💡 Hint: Think about how we retrieve subsequent elements from a sequence.

Question 2

True or False: Generators store all values in memory.

True
False

💡 Hint: Consider what makes generators different from lists.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a custom iterator that counts down from a given number to zero. Describe how you would implement the iter() and next() methods.

💡 Hint: Refer back to the CountDown example shared earlier.

Challenge 2 Hard

Write a generator that yields Fibonacci numbers indefinitely until a certain number is reached. What would you do to ensure it stops?

💡 Hint: Consider how you'd check for the upper limit within a continuous generator.

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