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python Programming Glossary: workersProcessing single file from multiple processes in python http://stackoverflow.com/questions/11196367/processing-single-file-from-multiple-processes-in-python work Queue.Queue results Queue.Queue total 20 # start for workers for i in xrange 4 t threading.Thread target do_work args work.. line out_list.append result if __name__ __main__ num_workers 4 manager Manager results manager.list work manager.Queue num_workers.. Manager results manager.list work manager.Queue num_workers # start for workers pool for i in xrange num_workers p Process..
What determines whether different Python processes are assigned to the same or different cores? http://stackoverflow.com/questions/15639779/what-determines-whether-different-python-processes-are-assigned-to-the-same-or-d is spawning separate processes for the different workers but is there any way that I can make these processes execute..
Python deep getsizeof list with contents? http://stackoverflow.com/questions/2117255/python-deep-getsizeof-list-with-contents played around with it too much myself but a few of my co workers have used it for memory profiling with good results. The documentation..
Solving embarassingly parallel problems using Python multiprocessing http://stackoverflow.com/questions/2359253/solving-embarassingly-parallel-problems-using-python-multiprocessing index based. The data is then sent over inqueue for the workers to do their thing. At the end the input thread sends a 'STOP'..
Multiple (asynchronous) connections with urllib2 or other http library? http://stackoverflow.com/questions/4119680/multiple-asynchronous-connections-with-urllib2-or-other-http-library Denis Bilenko. See LICENSE for details. Spawn multiple workers and wait for them to complete urls 'http www.google.com' 'http..
Python multiprocessing pool inside daemon process http://stackoverflow.com/questions/6516508/python-multiprocessing-pool-inside-daemon-process am trying to implement a python daemon that uses a pool of workers to executes commands using Popen . I have borrowed the basic.. I have not added the functionality to run anything via the workers. My problem seems completely related to setting up the pool.. problem seems completely related to setting up the pool of workers correctly. I would appreciate any information that leads to..
Python multiprocessing: sharing a large read-only object between processes? http://stackoverflow.com/questions/659865/python-multiprocessing-sharing-a-large-read-only-object-between-processes some big object into memory then creating a pool of workers that need to make use of that big object. The big object is.. 1 To make best use of a large structure with lots of workers do this. Write each worker as a filter reads intermediate results.. writes intermediate results on stdout. Connect all the workers as a pipeline process1 source process2 process3 ... processn..
http://stackoverflow.com/questions/7855343/run-web-app-with-gevent share improve this question Gunicorn has 3 gevent workers k gevent using gunicorn's HTTP parser k gevent_pywsgi using..
Python multiprocessing.Pool: when to use apply, apply_async or map? http://stackoverflow.com/questions/8533318/python-multiprocessing-pool-when-to-use-apply-apply-async-or-map is modified only by the main process not the pool workers. result_list.append result def apply_async_with_callback pool..
Cancel an already executing task with Celery? http://stackoverflow.com/questions/8920643/cancel-an-already-executing-task-with-celery cancels the task execution. If a task is revoked the workers ignore the task and do not execute it. If you don't use persistent.. restart. http docs.celeryproject.org en latest userguide workers.html#worker persistent revokes revoke has an terminate option..
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