An important note about numpy broadcasting: numpy broadcasts from the back, so your life improves dramatically when you reference indices from the back as well: use axis references < 0. So if you want to reference a row: refer to axis=-1. This will ALWAYS refer to the row (first broadcasting dimension), whether you have a 1D vector or 2D matrix or any N-D array. Numpy is deeply unfriendly if you don't do this. To smooth out this an similar issues, there's the numpysane library. But simply using negative axis references goes a long way.
Interesting idea. This makes intuitive sense to me but I’ve never seen code written like this or attempted to write code like that. I’ll have to try it out next time I’m using numpy.
