On Fri, 11 Oct 2013 17:53:02 +1100, Cameron Simpson wrote: > Other Python implementations may be more aggressive. I'd suppose Jypthon > could multithread like Java, but really I have no experience with them.
Neither Jython nor IronPython have a GIL. > The standard answer with CPython is that if you want to use multiple > cores to run Python code (versus using Python code to orchestrate native > code) you should use the multiprocessing stuff to fork the interpreter, > and then farm out jobs using queues. Note that this really only applies to CPU-bound tasks. For tasks that depend on file IO (reading and writing files), CPython threads will operate in parallel as independently and (almost) as efficiently as those in other languages. That is to say, they will be constrained by the underlying operating system's ability to do file IO, not by the number of cores in your CPU. -- Steven -- https://mail.python.org/mailman/listinfo/python-list
