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3 cards from this section. Quick, good the night before a test.
What is threading in Python?
Think about how it allows multiple operations to take place.
Why should we avoid threads for CPU-bound tasks?
Remember what the GIL does.
What does threading allow us to do in Python?
Think about how tasks operate simultaneously.
True or False: The GIL allows multiple threads to execute Python bytecode simultaneously.
Focus on what the GIL is designed to do.
Create a Python program that uses threading to fetch data from three different URLs simultaneously. Explain how you would manage shared data safely.
Consider how you ensure that data is not modified until threads are done.
Discuss the potential issues that can arise from data corruption when using threads. How can you mitigate these issues?
Think about what happens when threads try to use the same resources.
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