Concurrent Futures Interview Questions

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Python Concurrent Futures Interview Questions

Answers To 130+ Interview Questions On The ThreadPoolExecutor And ProcessPoolExecutor

How well do you know the ThreadPoolExecutor and ProcessPoolExecutor in Python?

The concurrent.futures module provides the ability to launch parallel and concurrent tasks in Python using thread and process-based concurrency.

Importantly, the ThreadPoolExecutor and ProcessPoolExecutor offer the same modern interface with asynchronous tasks, Future objects, and the ability to wait on groups of tasks.

The concurrent.futures module with the ThreadPoolExecutor and ProcessPoolExecutor classes offers the best way to execute ad hoc tasks concurrently in Python, and few developers know about it, let alone how to use it well.

  • Do you know how to handle task results in the order tasks finish?
  • Do you know how to wait for the first task to fail?
  • Do you know how many workers are created by default?

Discover 130+ interview questions and their answers on the concurrent.futures module.

  • Study the questions and answers and improve your skills.
  • Test yourself to see what you really know, and what you don't.
  • Select questions to interview developers on a new role.

What topics are covered?

The questions are divided into 17 major topics, they are:

  1. Threads
  2. Global Interpreter Lock
  3. Processes
  4. Threads vs Processes
  5. Blocking Calls
  6. Executors
  7. Executor Shutdown
  8. Submit Tasks
  9. Map Tasks
  10. Future Objects
  11. Future Result
  12. Future Status
  13. Done Callback Functions
  14. As Completed
  15. Wait
  16. ThreadPoolExecutor
  17. ProcessPoolExecutor

Prepare for an interview or test your ThreadPoolExecutor and ProcessPoolExecutor skills in Python today.

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About the Author

Jason Brownlee, Ph.D. helps Python developers bring modern concurrency methods to their projects with hands-on tutorials.

Jason loves Python Concurrency. It's all he does. It’s his main thing.

Jason has:

  • Read all the books on Python concurrency.
  • Used all of the Python concurrency APIs in the standard library.
  • Written 500+ tutorials and 12+ books on Python concurrency.

Learn more at

Jason is a software engineer and research scientist with a background in artificial intelligence and high-performance computing. He has authored more than 20 technical books on machine learning and has built, operated, and exited online businesses.

See his linkedin profile here:

Any Questions?

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Concurrent Futures Interview Questions

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