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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is multiprocessing in Python?
💡 Hint: Think about how it allows tasks to run in parallel.
Question 2
Easy
What does the GIL stand for?
💡 Hint: Remember, it limits threading capabilities.
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 multiprocessing module allow you to do in Python?
- Run two programs at once
- Run multiple processes simultaneously
- Run multiple threads due to GIL
💡 Hint: Focus on how different processes can operate simultaneously.
Question 2
True or False: Multiprocessing is limited by the GIL.
- True
- False
💡 Hint: Think about how processes are handled in terms of memory.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You need to process a large dataset that requires extensive calculation for each entry. Write a Python script that utilizes multiprocessing to handle this task efficiently.
💡 Hint: Consider how to use Pool for handling a collection of data.
Question 2
Discuss the implications of serialization when communicating between processes in Python and how it can affect performance.
💡 Hint: Think about how data is passed along in multiprocessing.
Challenge and get performance evaluation