[Numpy-discussion] Possible new multiplication operators for Python
Alan G Isaac
Mon Aug 18 18:31:45 CDT 2008
> On Mon, Aug 18, 2008 at 12:21, Charles R Harris <firstname.lastname@example.org> wrote:
>> Tim Hochberg proposed using the call operator for matrix multiplication,
Robert Kern wrote:
> It's certainly worth exploring. My personal opinion is that I could
> just use a single operator for doing matrix multiplication. I don't
> want to see two variants of every single operator.
User opinion on Tim's proposal:
it is not bad, especially if you write
A(B)(C) instead of A(B(C)).
But in the end I think it looks acceptable
only if you do not plan to use matrices much.
For teaching purposes: I think it fails
for not being explicit enough.
I would even prefer A.dot(B).dot(C) for this reason.
But I prefer a normal binary multiplication operator!
User opinion on Robert's comment:
I use matrix powers and so would
feel some loss there, but I could
accept say M.pow(n) instead of M**n.
So it seems to me, as a user,
that the SciPy community should
definitely ask for a way to have
a distinct matrix multiplication operator.
Proposal 1: PEP 225, but *just* for multiplication.
Either ~* as in the PEP or @* (which I prefer).
(This looks simplest.)
Proposal 2: PEP 225
(but maybe using @ instead of ~).
Proposal 3: use of a unicode character,
perhaps × since it is in the Latin1
extension of ASCII.
Proposal 4: user defined operators, perhaps
as described in PEP 225.
In this case, @dot would be a natural.
(This looks most complex but also most powerful.)
But is A @dot B really better than say A.dot(B)?
Propsal 5: use the existing language, either
using __call__ as in Tim's proposal or adding
a ``dot`` method.
Did I miss any?
As PEP 225 notes, implementing proposals 1 or 2
does not rule out future interest in proposal 4.
More information about the Numpy-discussion