> On 3 Feb 2019, at 21:34, David Mertz <me...@gnosis.cx> wrote:
>
> On Sun, Feb 3, 2019 at 3:16 PM Ronald Oussoren <ronaldousso...@mac.com
> <mailto:ronaldousso...@mac.com>> wrote:
> The @ operator is meant for matrix multiplication (see PEP 465) and is
> already used for that in NumPy. IMHO just that is a good enough reason for
> not using @ as an elementwise application operator (ignoring if having an
> such an operator is a good idea in the first place).
>
> Co-opting operators is pretty common in Python. For example, the
> `.__div__()` operator spelled '/' is most often used for some kind of numeric
> division. Some variations on that, for example vectorized in NumPy. And
> different numeric types operate a bit differently. The name of the magic
> method obvious suggests division.
I know, but if an element-wise operator is useful it would also be useful for
libraries like NumPy that already support the @ operator for matrix
multiplication. Using @ both for matrix multiplication and element-wise
application could be made to work, but would be very confusing.
Ronald
—
Twitter: @ronaldoussoren
Blog: https://blog.ronaldoussoren.net/
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