use this type Threading : •Thread(target=do_work,args=(work_queue,)) –Multiprocessing: •Process(target=do_work,args=(work_queue,))
On Tue, Feb 8, 2011 at 1:54 PM, Vishal <vsapr...@gmail.com> wrote: > Hello, > > This might sound crazy..and dont know if its even possible, but... > > Is it possible that the Python process, creates copies of the interpreter > for each thread that is launched, and some how the thread is bound to its > own interpreter ? > > This will increase the python process size...for sure, however data sharing > will remain just like it is in threads. > > and it "may" also allow the two threads to run in parallel, assuming the > processors of today can send independent instructions from the same process > to multiple cores? > > Comments, suggestions, brush offs are welcome :)) > > Thanks and best regards, > Vishal Sapre > _______________________________________________ > BangPypers mailing list > BangPypers@python.org > http://mail.python.org/mailman/listinfo/bangpypers > _______________________________________________ BangPypers mailing list BangPypers@python.org http://mail.python.org/mailman/listinfo/bangpypers
