Practice Conclusion (6) - Chapter 7: Concurrency and Parallelism in Python

Practice: Conclusion

Lesson 6Concurrency and Parallelism in Python

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10 questions

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6 sample questions

Question 1.
What is the main difference between concurrency and parallelism?
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Remember they start with 'C' and 'P'.
Question 2.
Which method would be preferable for web scraping and why?
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Think about operations waiting for responses from the network.
3Question 3.
What does concurrency refer to?
- Managing tasks at the same time
- Executing tasks simultaneously
- Both A and B
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Think about the definition of concurrency.
4Question 4.
Is it true that Python’s Global Interpreter Lock allows multiple threads to execute Python bytecode concurrently?
- True
- False
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Consider the limitations of GIL.
Question 5.
Develop a Python script that downloads images from a website using threading and processes them using multiprocessing for analysis.
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Think about using both `threading` and `multiprocessing` libraries effectively.
Question 6.
Explain how you'd manage shared data in a scenario where multiple threads are updating the same record. What mechanisms would you implement?
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Consider how multiple threads could interfere with data consistency.

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