I use D-Bus (Python). I recommend it. I don't know how cross platform it is. However, it supports message passing of most built-in (strings, ints, lists, dictionaries etc) Python objects accross processes. You can mimick clean Erlang-like concurrency with it. It is the future of IPC on Desktop Unix. Given Python's crippled threading implementation, it can play a role in making your Python applications scalable, with regards to concurrency. I am recommending D-Bus because I have used it, and I know it works. I didn't read this of a newsgroup or mailing list.
http://www.freedesktop.org/wiki/Software/dbus Simon Wittber wrote: > I've just bought a new notebook, which has a dual core CPU. > > I write cross platform games in Python, and I'd really like to be able > to use this second core (on my machine, and on user's machines) for any > new games I might write. > > I know threads won't help (in CPython at least) so I'm investigating > other types of concurrency which I might be able to use. I really like > the PyLinda approach, however I need to be able to pass around all the > simple python types, which PyLinda won't help me with. Also, PyLinda is > more focused on distributing computing; I really only want to have 2 > processes cooperating (or 4, if I had 4 CPUs/cores etc). > > Is there any cross platform way to share python objects across > processes? (I've found POSH, but it's old, and doesn't appear to be > maintained). I could implement my own object space using shared memory, > but from what I can see, this is not available on Win32. > > Are there any other concurrency options I've not discovered yet? > > > -Sw. -- http://mail.python.org/mailman/listinfo/python-list
