Practice Threading Basics And The Global Interpreter Lock (gil) (1) - Chapter 7: Concurrency and Parallelism in Python

Practice: Threading Basics and the Global Interpreter Lock (GIL)

Lesson 1Concurrency and Parallelism in Python

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9 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is threading used for in Python?
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Think about operations that need to happen at the same time.
Question 2.
Explain what the GIL is.
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How does it affect threading in Python?
3Question 3.
What does the GIL stand for?
- Global Interpreter Lock
- Global Integer Limit
- General Interpreted Language
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It's related to how Python runs its threads.
4Question 4.
True or False: Threading in Python allows true parallel execution of CPU-bound tasks.
- True
- False
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Think about the limitations of the GIL.
Question 5.
Consider a scenario involving a multi-threaded application that updates a shared resource. Describe how you would ensure thread safety in your implementation.
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Consider what data could be corrupted without proper controls.
Question 6.
You are tasked to refactor a CPU-bound task currently using threading to improve performance. What strategies would you apply?
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Think about how CPU performance can be optimized.

5 more questions in this section. Enroll free to practise them all.