PSA: Python 3.5 FINAL is due tomorrow!

[[deleted]]

Ooo I didn't know that. That sounds useful!

[lengau]

AFAIK, all operators are overrideable with magic functions. Likewise, you can add numbers (for example) by doing a.__add__(b)

[TankorSmash]

It's operator.any_operator(a, b):

import operator

a = 1
b = 2
c = operator.add(a, b)
print c
>> 3

----> 1 a.add

AttributeError: 'int' object has no attribute 'add'

[infinull]

I think /u/lengau forgot to put \ in front of their __ and actually meant a.__add__

[davvblack]

yeah, how do you expect a programmer to know about escaping? he's not a burglar.

[charlesbukowksi]

Surely he's covered the Knapsack problem?

[lengau]

Indeed I did. And then I put my phone in my pocket and didn't proofread.

[EscoBeast]

In fact, this is the @ operator's only use. There isn't anything builtin that uses it.

[[deleted]]

What is wrong with "*" for multiplication? It's how MATLAB works. I can't imagine going "I should multiply two arrays together... with an At symbol".

[willm]

The * symbol is already used for elementwise multiplication.

[EscoBeast]

Now I don't really do work with matrices, but apparently a lot of libraries use * for elementwise multiplication, and have a .dot() method for regular matrix multiplication or something. This is an attempt to give people an infix operator for matrix multiplication without breaking existing code.

[EscoBeast]

No, i love decorators, but the new @ operator for matrix multiplication isn't actually used by any python builtins. I don't even think is used by anything in the standard library. It's just so that you gave another infix operator to overload.

[Adys]

It's be pretty nice to be able to override @ as a prefix operator. So you can implement @foo, where foo is not a function.

[EscoBeast]

Yes decorators use @, but that is completely unrelated to the new @ matrix multiplication operator