New submission from Chris Curvey: on http://docs.python.org/2/library/multiprocessing.html, there is a bit about how to use a Pool properly, which looks like this pool = Pool(processes=4) # start 4 worker processes result = pool.apply_async(f, [10]) What this neglects to mention is that only one process will get any of the work. If you really want four processes in the pool to work, you have to call apply_async four times. For example: results = [] pool = Pool(processes=4) for i in xrange(4): results.append(pool.apply_async(f, [10])) hat tip to http://stackoverflow.com/questions/12483512/python-multiprocessing-apply-asy... ---------- assignee: docs@python components: Documentation messages: 194115 nosy: Chris.Curvey, docs@python priority: normal severity: normal status: open title: multiprocessing page leaves out important part of Pool example type: enhancement _______________________________________ Python tracker <report@bugs.python.org> <http://bugs.python.org/issue18620> _______________________________________