Practice Introduction - 3.1 | Chapter 3: Generators and Iterators | Python Advance
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Introduction

3.1 - Introduction

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is an iterator?

💡 Hint: Think about how we traverse lists or tuples.

Question 2 Easy

What keyword is used to define a generator?

💡 Hint: It's a word that's also a verb for giving something.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does an iterator implement to be considered valid?

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

💡 Hint: Remember the method names start with double underscores.

Question 2

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

True
False

💡 Hint: Think about how generators work differently from normal functions.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Think about how to keep track of previous values.

Challenge 2 Hard

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

💡 Hint: How do you start the generator and maintain its state with send?

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