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python Programming Glossary: multiprocess

Is it possible to multiprocess(Python) a function that returns something?

http://stackoverflow.com/questions/10797998/is-it-possible-to-multiprocesspython-a-function-that-returns-something

it possible to multiprocess Python a function that returns something In Python have seen.. returns something In Python have seen many example where multiprocessing is called but the target just prints something. I have a.. def foo some args a someObject b someObject return a b p1 multiprocess target foo args some args p2 multiprocess target foo args some..

Python multiprocess profiling

http://stackoverflow.com/questions/11041683/python-multiprocess-profiling

multiprocess profiling I'm struggling to figure out how to profile a simple.. I'm struggling to figure out how to profile a simple multiprocess python script import multiprocessing import cProfile import.. how to profile a simple multiprocess python script import multiprocessing import cProfile import time def worker num time.sleep 3 print..

Clean way to get near-LIFO behavior from multiprocessing.Queue? (or even just *not* near-FIFO)

http://stackoverflow.com/questions/12042575/clean-way-to-get-near-lifo-behavior-from-multiprocessing-queue-or-even-just-n

way to get near LIFO behavior from multiprocessing.Queue or even just not near FIFO Does anyone know a clean.. near LIFO or even not near FIFO e.g. random behavior from multiprocessing.Queue Alternative Question Could someone point me to the.. thread that manages the actual storage structure behind multiprocessing.Queue It seems like it would be trivial within that to provide..

multiprocess or threading in python?

http://stackoverflow.com/questions/1226584/multiprocess-or-threading-in-python

or threading in python I have a python application that grabs.. I want them to all happen in parallel. Should I be using multiprocess or threading for this operation I attempted to use threading.. tasks would never actually fire. python multithreading multiprocess share improve this question If you are truly compute bound..

Python multi-processing

http://stackoverflow.com/questions/15966157/python-multi-processing

1 index 1 rt_counter 1 I have been reading up on multiprocessing and figured that I wanted to try that to see if I could get.. 2 given at me could anyone with some more experience with multiprocess give me a hint as to what things to look out for that could.. each process gets a local copy of the array. python multiprocessing share improve this question Something like this should..

In production, Apache + mod_wsgi or Nginx + mod_wsgi?

http://stackoverflow.com/questions/195534/in-production-apache-mod-wsgi-or-nginx-mod-wsgi

WSGI based applications. Worse case scenario is that with multiprocess nginx configuration you can see user requests be blocked even..

Can Python's unittest test in parallel, like nose can?

http://stackoverflow.com/questions/4710142/can-pythons-unittest-test-in-parallel-like-nose-can

Multiprocessing Queue in Python

http://stackoverflow.com/questions/6672525/multiprocessing-queue-in-python

Queue in Python I'm trying to use a queue with the multiprocessing library in Python. After executing the code below the print.. processes Thanks def MultiprocessTest self print Starting multiprocess. print Number of CPUs multiprocessing.cpu_count num_procs 4.. self print Starting multiprocess. print Number of CPUs multiprocessing.cpu_count num_procs 4 def do_work message print work message..

PicklingError when using multiprocessing

http://stackoverflow.com/questions/7016567/picklingerror-when-using-multiprocessing

when using multiprocessing I am having trouble when using the Pool.map_async and also.. when using the Pool.map_async and also Pool.map in the multiprocessing module. I have implemented a parallel for loop function that.. Can't pickle type 'instancemethod' when using python's multiprocessing Pool.map but I cannot figure out how to make it work even..

How can I release memory after creating matplotlib figures

http://stackoverflow.com/questions/7101404/how-can-i-release-memory-after-creating-matplotlib-figures

.clf .close and gc.collect aren't needed if you use multiprocess to run the plotting function in a separate process whose memory..