Earlier quoted context omitted.
It does away with the need for a separate matrix type. When you are using numpy (most imported non stdlib library according to the pep!) and you have two arrays a and b, a * b is elementwise multiplication. numpy currently has a matrix type. When a and b are both matrices, a * b is matrix multiplication. The @ operator would do away with the need for a matrix type. Then, a * b is element wise and a @ b is matrix wise…
"The @ operator would do away for a matrix type" which is only an issue because every lib needs to define its own matrix type ? Then why isn't the solution to provide this type in the standard lib ?
It doesn't have to be used for matrix multiplication. Other libraries might overload it as something else.