Python Multiprocessing Interview Questions: Answers To 180+ Interview Questions On Python Multiprocessing

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SuperFastPython.com - Computers - 93 pages

How well do you know Python multiprocessing?


The multiprocessing module provides process-based concurrency in Python and few developers know about it, let alone, how to use it well.


The main reason is because it is widely thought that Python does not fully support concurrency.


This is false.


In fact, processes provide the best path to full parallelism in Python for CPU-bound tasks.


* Do you know how to start a new process?

* Do you know how to use mutex locks with Python processes?

* Do you know how to use a manager or a pool?


Discover 180+ interview questions on Python multiprocessing.


* Study the questions and answers and improve your skill.

* Test yourself to see what you really know, and what you don't.

* Select questions to interview developers on a new role.


Prepare for an interview or test your Python multiprocessing skills today.

 

Common terms and phrases

__main__ acquire the condition Asynchronous I/O asynchronous task AsyncResult object barrier Barrier computer science blocking calls Busy waiting child processes chunksize concurrency primitive condition variable configure context manager interface CPU core daemon process data between processes default entry point Further Reading global variables https://docs.python.org/3/library/multiprocessing.html imap inter-process communication Jason Brownlee livelock logical CPU main process main thread map_async module function multiprocessing context mutex lock Namespace notify number of processes operating system parent process pickled Pipe Process class Process instance process may wait process name process pool process process process wait process-based concurrency Process-based parallelism protect the entry provides additional resources proxy objects Python concurrency Python developer Python processes Python program Python provides queue race condition Reading This section released return values Running Processes section covers questions section provides additional semaphore shared between processes shared ctype sharing data shutdown SuperFastPython.com tasks are completed terminate timeout topic typical Wikipedia worker process

About the author

Jason Brownlee, Ph.D. helps Python developers bring modern concurrency methods to their projects with hands-on tutorials. Learn more at https://SuperFastPython.com


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.

Bibliographic information

TitlePython Multiprocessing Interview Questions: Answers To 180+ Interview Questions On Python Multiprocessing
AuthorJason Brownlee
PublisherSuperFastPython.com
Length93 pages
Subjects ›  › 

Computers / Languages / Python
  
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