> When processing data in parallel you will use up as muchmemoryas > many datasets you are processing at any given time. Worker processes eats 2-4 times more than I pass to them.
>If you need to > reducememoryuse then you need to start fewer processes and use some > mechanism to distribute the work on them as they become free. (see > recommendation that uses Queues) I don't understand how could I use Queue here? If worker process finish computing, it puts its' id into Queue, in main process I retrieve that id and how could I retrieve result from worker process then? -- http://mail.python.org/mailman/listinfo/python-list
