Thanks Zeph.
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I have a function that makes two subprocess.Popen() calls on a file.
I have 8 cores. I need 8 instances of that function running in
parallel at any given time till all the files are worked on.
Can the multiprocessing module do this? If so, whats the best method?
A technical overview of how the mu
Hi all,
Hi all,
with the above version of parallelpython, what causes this?
Traceback (most recent call last):
File "C:\Users\tim\code_base\svn\octopus\parallel_python\pp.py",
line 762, in
__run
sresult = worker.t.receive()
File "C:\Users\tim\code_base\svn\octopus\parallel_python
\pptran
# Send an SMS with your current GPS co-ordinates using a
# Nokia SmartPhone and PyS60
#
# Timothy Makobu, 01-01-2009
import positioning
import messaging
import appuifw
import sys
##
# MsnClient Class -- A basic class that enables one to create an MSN
client this way:
# x = MsnClient(to_msnid, bot_msnid, bot_msnid_password, messege);
x.tell()
# (C) Timothy Makobu, 2007
