Yes, Julian is doing an amazing work on getting rid of temporaries inside NumPy. However, NumExpr still has the advantage of using multi-threading right out of the box, as well as integration with Intel VML. Hopefully these features will eventually arrive to NumPy, but meanwhile there is still value in pushing NumExpr.
Francesc 2017-02-19 18:21 GMT+01:00 Marten van Kerkwijk <m.h.vankerkw...@gmail.com>: > Hi All, > > Just a side note that at a smaller scale some of the benefits of > numexpr are coming to numpy: Julian Taylor has been working on > identifying temporary arrays in > https://github.com/numpy/numpy/pull/7997. Julian also commented > (https://github.com/numpy/numpy/pull/7997#issuecomment-246118772) that > with PEP 523 in python 3.6, this should indeed become a lot easier. > > All the best, > > Marten > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > -- Francesc Alted
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