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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What function do you use to start a coroutine in asyncio?
💡 Hint: Think about how we initiate our main coroutine.
Question 2
Easy
What does asyncio.gather() do?
💡 Hint: Consider how multiple tasks can finish at the same time.
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 the event loop in asyncio do?
- Manages CPU-bound tasks
- Schedules and runs coroutines
- Handles synchronous blocking code
💡 Hint: Focus on its role in coroutine management.
Question 2
True or False: A coroutine can execute operations while waiting for I/O.
- True
- False
💡 Hint: Think about how I/O operations work in async.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Write a Python asyncio application that demonstrates handling three different I/O-bound tasks concurrently. Each task should simulate a time delay and print its progress.
💡 Hint: Use asyncio.gather to run multiple coroutines.
Question 2
Explain why using asyncio for handling numerous API calls is more resource-efficient compared to traditional threading. Discuss potential pitfalls in switching from threading to asyncio.
💡 Hint: Consider the differences in resource allocation between threading and asyncio.
Challenge and get performance evaluation