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I am learning how to use the threading and the multiprocessing modules in Python to run certain operations in parallel and speed up my code. I am finding this...
When I run something like: from multiprocessing import Pool p = Pool(5) def f(x): return x*x p.map(f, [1,2,3]) it works fine. However, putting this as a function of a...
Python 3.2 introduced Concurrent Futures, which appear to be some advanced combination of the older threading and multiprocessing modules. What are the advantages and disadvantages of using this for...
I am trying my very first formal python program using Threading and Multiprocessing on a windows machine. I am unable to launch the processes though, with python giving the...
I’m trying to use multiprocessing‘s Pool.map() function to divide out work simultaneously. When I use the following code, it works fine: import multiprocessing def f(x): return x*x def go():...
I found that in Python 3.4 there are few different libraries for multiprocessing/threading: multiprocessing vs threading vs asyncio. But I don’t know which one to use or is the...
I’m trying to learn how to use Python’s multiprocessing package, but I don’t understand the difference between map_async and imap. I noticed that both map_async and imap are executed...
Right now I have a central module in a framework that spawns multiple processes using the Python 2.6 multiprocessing module. Because it uses multiprocessing, there is module-level multiprocessing-aware log,...
I am sorry that I can’t reproduce the error with a simpler example, and my code is too complicated to post. If I run the program in IPython shell...
I have not seen clear examples with use-cases for Pool.apply, Pool.apply_async and Pool.map. I am mainly using Pool.map; what are the advantages of others? 3 Answers 3