Sandra-24 wrote: > On Nov 2, 1:32 pm, robert <[EMAIL PROTECTED]> wrote: >> I'd like to use multiple CPU cores for selected time consuming Python >> computations (incl. numpy/scipy) in a frictionless manner. >> >> Interprocess communication is tedious and out of question, so I thought >> about simply using a more Python interpreter instances (Py_NewInterpreter) >> with extra GIL in the same process. > > Why not use IronPython? It's up to date (unlike Jython), has no GIL, > and is cross-platform wherever you can get .NET or Mono (UNIX, macs, > windows) and you can use most any scientific libraries written for the > .NET/Mono platform (there's a lot) Take a look anyway. > > -Sandra
what about speed. Is it true that IronPython is almost as fast as C-Python meanwhile? When this all is really true, its probably a proof that putting out LOCK-INC-lock's (on dicts, lists, mutables ...) in CPython to remove the GIL in future should not be really so expensive as it was teached in the past :-) Still to adopt to .NET libraries will be a big step. Is there really a thing out there as usable as numpy/scipy. And GUI programming in IronPython ... ( The FAQ's on codeplex.com and many docs are not readable currently due to site errors. What about overall stability and # of users of Iron as of today? ) -robert -- http://mail.python.org/mailman/listinfo/python-list
