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python Programming Glossary: multiprocessing.poolProcessing single file from multiple processes in python http://stackoverflow.com/questions/11196367/processing-single-file-from-multiple-processes-in-python on whether your work is cpu bound or IO bound. Basic multiprocessing.Pool example Here is a really basic example of a multiprocessing..
multiprocessing GUI schemas to combat the “Not Responding” blocking http://stackoverflow.com/questions/15698251/multiprocessing-gui-schemas-to-combat-the-not-responding-blocking self.list # Pool of Background Processes self.pool multiprocessing.Pool processes 4 def addTask self num_row self.list.count self.pool.apply_async.. Processes self.queue multiprocessing.Queue self.pool multiprocessing.Pool processes 4 initializer pool_init initargs self.queue # Check..
Can't pickle <type 'instancemethod'> when using python's multiprocessing Pool.map() http://stackoverflow.com/questions/1816958/cant-pickle-type-instancemethod-when-using-pythons-multiprocessing-pool-ma fine import multiprocessing def f x return x x def go pool multiprocessing.Pool processes 4 #result pool.apply_async self.f 10 #print result.get.. self pass def f self x return x x def go self pool multiprocessing.Pool processes 4 #result pool.apply_async self.f 10 #print result.get..
multiprocessing problem [pyqt, py2exe] http://stackoverflow.com/questions/2073942/multiprocessing-problem-pyqt-py2exe out here. This means that some examples such as the multiprocessing.Pool examples will not work in the interactive interpreter The only..
Python thread pool similar to the multiprocessing Pool? http://stackoverflow.com/questions/3033952/python-thread-pool-similar-to-the-multiprocessing-pool a map function def long_running_func p c_func_no_gil p p multiprocessing.Pool 4 xs p.map long_running_func range 100 however I would like..
Using the multiprocessing module for cluster computing http://stackoverflow.com/questions/5181949/using-the-multiprocessing-module-for-cluster-computing module. What I would really like to do is just set up a multiprocessing.Pool instance that would span across the whole computer cluster and..
Python multiprocessing pool.map for multiple arguments http://stackoverflow.com/questions/5442910/python-multiprocessing-pool-map-for-multiple-arguments text case X case 0 text str X if __name__ '__main__' pool multiprocessing.Pool processes 6 case RAW_DATASET pool.map harvester text case case.. harvester case RAW_DATASET if __name__ '__main__' pool multiprocessing.Pool processes 6 case_data RAW_DATASET pool.map partial_harvester..
Is shared readonly data copied to different processes for Python multiprocessing? http://stackoverflow.com/questions/5549190/is-shared-readonly-data-copied-to-different-processes-for-python-multiprocessing shared_array shared_array i i if __name__ '__main__' pool multiprocessing.Pool processes 4 pool.map my_func range 10 print shared_array which..
Multiprocessing useless with urllib2? http://stackoverflow.com/questions/6905800/multiprocessing-useless-with-urllib2 continue return self.tweets if __name__ '__main__' pool multiprocessing.Pool processes 4 result pool.apply_async getTweets i for i in urls..
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 multiprocessing.Pool when to use apply apply_async or map I have not seen clear.. not used anymore. Nowadays f args kwargs is preferred. The multiprocessing.Pool modules tries to provide a similar interface. Pool.apply is..
How to spawn parallel child processes on a multi-processor system? http://stackoverflow.com/questions/884650/how-to-spawn-parallel-child-processes-on-a-multi-processor-system __name__ '__main__' count multiprocessing.cpu_count pool multiprocessing.Pool processes count print pool.map work 'ls' count And here is a.. value return value 10 if __name__ '__main__' pool multiprocessing.Pool None tasks range 10000 results r pool.map_async calculate tasks..
how do I parallelize a simple python loop? http://stackoverflow.com/questions/9786102/how-do-i-parallelize-a-simple-python-loop . I suggest to use the multiprocessing module instead pool multiprocessing.Pool 4 out1 out2 out3 zip pool.map calc_stuff range 0 10 offset offset..
Using Python's Multiprocessing module to execute simultaneous and separate SEAWAT/MODFLOW model runs http://stackoverflow.com/questions/9874042/using-pythons-multiprocessing-module-to-execute-simultaneous-and-separate-seawa number of processes running but the simplest code is using multiprocessing.Pool # usr bin env python import os import multiprocessing as mp.. that provides the same interface as multiprocessing.Pool but uses threads instead of processes that might be more appropriate..
NumPy vs. multiprocessing and mmap http://stackoverflow.com/questions/9964809/numpy-vs-multiprocessing-and-mmap numpy.load mmap_mode 'r' in the master process. After that multiprocessing.Pool forks the process I presume . Everything seems to work fine.. to a Pool.imap call. Apparently the issue is with the way multiprocessing.Pool.imap passes its input to the new processes it uses pickle. This.. data np.memmap 'data.dat' dtype np.float mode 'r' pool multiprocessing.Pool results pool.imap calculation chunks data results np.fromiter..
http://stackoverflow.com/questions/13068257/multiprocessing-scikit-learn data structures. Doing this it will be easier to put into multiprocessing.pool with that split samples into chunks train them and combine trained..
Python Implementation of the Object Pool Design Pattern http://stackoverflow.com/questions/1514120/python-implementation-of-the-object-pool-design-pattern items to pool were worker subprocesses I might have chosen multiprocessing.pool but they are not. If they were worker threads I might have chosen..
multiprocessing GUI schemas to combat the “Not Responding” blocking http://stackoverflow.com/questions/15698251/multiprocessing-gui-schemas-to-combat-the-not-responding-blocking QProgressBar # usr bin env python3 import multiprocessing multiprocessing.pool time random sys from PySide.QtCore import from PySide.QtGui..
Execute multiple threads concurrently http://stackoverflow.com/questions/18281434/execute-multiple-threads-concurrently You could use the largely undocumented ThreadPool class in multiprocessing.pool to do something along these lines from multiprocessing.pool.. to do something along these lines from multiprocessing.pool import ThreadPool import random import threading import time..
Python thread pool similar to the multiprocessing Pool? http://stackoverflow.com/questions/3033952/python-thread-pool-similar-to-the-multiprocessing-pool and not properly documented. It can be imported via from multiprocessing.pool import ThreadPool It is implemented using a dummy Process class..
Exception thrown in multiprocessing Pool not detected http://stackoverflow.com/questions/6728236/exception-thrown-in-multiprocessing-pool-not-detected as an exercise for the reader. import traceback from multiprocessing.pool import Pool import multiprocessing # Shortcut to multiprocessing's..
how to get the return value from a thread in python? http://stackoverflow.com/questions/6893968/how-to-get-the-return-value-from-a-thread-in-python with threads rather than processes you can just use the multiprocessing.pool.ThreadPool class as a drop in replacement. def foo bar baz print.. bar baz print 'hello 0 '.format bar return 'foo' baz from multiprocessing.pool import ThreadPool pool ThreadPool processes 1 async_result pool.apply_async..
Hang in Python script using SQLAlchemy and multiprocessing http://stackoverflow.com/questions/8785899/hang-in-python-script-using-sqlalchemy-and-multiprocessing the error. Edit 2 It looks like the problem is that multiprocessing.pool does not play well if any worker raises an Exception whose constructor..
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