Practice Using The Threading Module For Concurrent Execution (2) - Chapter 7: Concurrency and Parallelism in Python

Practice: Using the threading Module for Concurrent Execution

Lesson 2Concurrency and Parallelism in Python

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9 questions

Flashcard drill
3 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 a thread in the context of programming?
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Think about running multiple tasks at once.
Question 2.
What is a daemon thread?
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Remember its non-blocking nature.
3Question 3.
What is the primary purpose of the threading module in Python?
- To execute tasks sequentially
- To run tasks concurrently
- To process data in parallel
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Think about what 'threading' allows you to do.
4Question 4.
True or False: Daemon threads block the exit of the main program.
- True
- False
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Consider how background tasks operate.
Question 5.
Create a Python program demonstrating the use of both a regular thread and a daemon thread. Explain what happens upon exiting the main program.
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Focus on distinguishing the outputs of the daemon and regular threads.
Question 6.
Design a scenario where multiple threads are modifying shared data. Implement a solution to prevent data corruption.
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Review how to implement locks in the threading module.

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