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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is threading in Python?
💡 Hint: Think about how it allows multiple operations to take place.
Question 2
Easy
Why should we avoid threads for CPU-bound tasks?
💡 Hint: Remember what the GIL does.
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 threading allow us to do in Python?
- A) Execute tasks serially
- B) Run multiple tasks concurrently
- C) Prevent memory sharing
💡 Hint: Think about how tasks operate simultaneously.
Question 2
True or False: The GIL allows multiple threads to execute Python bytecode simultaneously.
- True
- False
💡 Hint: Focus on what the GIL is designed to do.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a Python program that uses threading to fetch data from three different URLs simultaneously. Explain how you would manage shared data safely.
💡 Hint: Consider how you ensure that data is not modified until threads are done.
Question 2
Discuss the potential issues that can arise from data corruption when using threads. How can you mitigate these issues?
💡 Hint: Think about what happens when threads try to use the same resources.
Challenge and get performance evaluation