Since 3.5 Python has a binary operator to be used for matrix multiplication:

`@`

, see PEP 465 -- A dedicated infix operator for matrix multiplication.The

@ signcan now be used on types implementing the`__matmul__`

special/magic/dundermethod.It is important to note that whilst this feature shipped in 3.5, none of the standard library builtin types have matrix multiplication implementations. So let's try to implement it on a custom type for this Bite.

Implement a simple class called

`Matrix`

that takes a list of lists in its constructor.Implement the

`__matmul__`

,`__rmatmul__`

(reversed) and`__imatmul__`

(in place)dundermethods.

Yes, using`numpy`

a`np.dot(self, other)`

would suffice, but the point is to get you thinking about implementing @ yourself!Here is a how matrix multiplication works:

A = [[1, 2], [3, 4]] B = [[11, 12], [13, 14]]Doing A @ B would do the following multiplications:

[[1 * 11 + 2 * 13, 1 * 12 + 2 * 14], [3 * 11 + 4 * 13, 3 * 12 + 4 * 14]]See the tests for more info. Good luck!

Special thanks to Anthony Shaw for providing the idea and collaborating with us on this Bite!

19 out of 20 users completed this Bite.

Will you be Pythonista #20 to crack this Bite?

Average Bite difficulty 1-10 rating: 9.0

» Up for a challenge? 💪