Twisted [1] includes lots of support for asyncronous concurrency, using deferreds. There is also the possiblity of PEP 342's [2] concurrency through enhanced generators, and being able to pass data to the generator every iteration. There are ways to simulate this, as well. I've written a recipe [3] for it over at ASPN.
Personally, I like the generator approach better, because it gives a feel of threads, but with direct control of the timeslicing, a better sense of understanding, and doesn't rely on things happening in the background, like deferreds often do. On 7/28/05, Peter Tillotson <[EMAIL PROTECTED]> wrote: > Hi, > > I'm looking for an advanced concurrency module for python and don't seem > to be able to find anything suitable. Does anyone know where I might > find one? I know that there is CSP like functionality built into > Stackless but i'd like students to be able to use a standard python build. > > I'm trying to develop distributed / Grid computing modules based on > python. The aim is to be able to use barriers for synchronisation and > channels for communication between processes running on a single box. > Then the jump to multiple processes on multiple boxes and eventually to > MPI implementations. Hopefully, each jump should not be that big a leap. > > Of course it would be nice if there was a robust way of managing > concurrency in python aswell ;-) > > p > -- > http://mail.python.org/mailman/listinfo/python-list > -- http://mail.python.org/mailman/listinfo/python-list
