3.1 - Using the multiprocessing Module
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Practice Questions
Test your understanding with targeted questions
What module would you use for running CPU-bound tasks in Python?
💡 Hint: Think about parallel execution of processes.
What does GIL stand for?
💡 Hint: Is it related to threading or multiprocessing?
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Interactive Quizzes
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What does the multiprocessing module help achieve?
💡 Hint: Focus on the nature of CPU-bound tasks.
True or False: The GIL allows multiple threads in Python to run bytecode simultaneously.
💡 Hint: Remember the limitation posed by GIL.
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Challenge Problems
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Implement a multiprocessing solution for computing the factorial of numbers from 1 to 10, using the multiprocessing module to parallelize the computation.
💡 Hint: Recall how to define functions and invoke processes.
Discuss the limitations of using multiprocessing in a high-throughput application where latency is a concern. Suggest alternative approaches.
💡 Hint: Think about trade-offs related to performance and application needs.
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