Practice Concurrent.futures: High-level Thread And Process Pools (4) - Chapter 7: Concurrency and Parallelism in Python

Practice: concurrent.futures: High-Level Thread and Process Pools

Lesson 4Concurrency and Parallelism in Python

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9 questions

Flashcard drill
2 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 the main purpose of the ThreadPoolExecutor?
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Consider what types of tasks involve waiting for resources.
Question 2.
How does the ProcessPoolExecutor differ from the ThreadPoolExecutor?
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Think about which executor can bypass the GIL.
3Question 3.
Which executor would you use for I/O-bound tasks?
- ThreadPoolExecutor
- ProcessPoolExecutor
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Think about where most time is spent in I/O operations.
4Question 4.
True or False: ProcessPoolExecutor allows you to run CPU-bound tasks in parallel.
- True
- False
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Consider the advantages of using multiple cores.
Question 5.
You are developing a web scraper that needs to download images from multiple URLs efficiently. How would you implement this using ThreadPoolExecutor?
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Think about how the `.map` method works with multiple URLs.
Question 6.
A data analysis task that involves extensive computation landmarks is running slowly in your application. How would implementing ProcessPoolExecutor help enhance performance?
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Consider the nature of CPU-bound tasks and the advantages of using multiple cores.

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