On Tue, 3 Jul 2018 at 07.35, Gael Varoquaux <gael.varoqu...@normalesup.org> wrote:
> On Mon, Jul 02, 2018 at 05:31:05PM -0600, Charles R Harris wrote: > > ISTR that some parallel processing applications sent pickled arrays > around to > > different processes, I don't know if that is still the case, but if so, > no copy > > might be a big gain for them. > > Yes, most parallel code that's across processes or across computers use > some form a pickle. I hope that this PEP would enable large speed ups. > This would be a big deal for parallelism in numerical Python. This sound so very powerful... it’s such a pity that these type of gems won’t be backported to Python 2 - we have so many legacy applications smoothly running in Python 2 and nowhere near the required resources to even start porting to Python 3, and pickle5 looks like a small revolution in the data-persistent world. Andrea. > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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