On Sat, Mar 15, 2014 at 1:28 PM, Nathaniel Smith <njs@pobox.com> wrote:

On Sat, Mar 15, 2014 at 3:41 AM, Nathaniel Smith <njs@pobox.com> wrote:

Hi all,

Here's the main blocker for adding a matrix multiply operator '@' to Python: we need to decide what we think its precedence and associativity should be.

Another data point that might be useful:

Matlab: same-left

R: tight-left

I was going to ask this earlier, but I was worried I was missing something major. Why was "tight-left" not an option? This means that if you don't use parentheses, you get: a @ b @ c -> (a @ b) @ c a * b @ c -> a * (b @ c) a @ b * c -> (a @ b) * c In my (very inexperienced) opinion, it seems like the most intuitive option. Cheers, -Joe

IDL: same-left

GAUSS: same-left (IIUC -- any GAUSS experts please correct me if I misunderstood the fine manual)

Mathematica: instead of having an associativity, a @ b @ c gets converted into mdot([a, b, c])

-- Nathaniel J. Smith Postdoctoral researcher - Informatics - University of Edinburgh http://vorpus.org _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion