Learnings part 2: *= is in place, but = arr * 2 is not, stride tricks and how numpy just modified the array descriptors instead of modifying the contents of the array when possible, how to interpret array descriptors,einsums blew my mind!
I didn't find this to be the case at all. Found it to be quite clear and informative. Just wanted to comment this so no one gets deterred from watching by the comment.
@@Vanessa-vz5cw same, the guy was clear enough and easy to understand, the only word which kinda gave me giggles was array, which he was pronouncing as area or something
Thank you, very informative and easy to follow. Thank for the repo to work along the presentation too.
I thought that was a game-changer. Thanks, Kirit!!!
Few learnings for me part 1: numpy slicing is passed on by reference, ix_, getting diagonal elements.
well explained thanks !!!!!!!!!!
Learnings part 2: *= is in place, but = arr * 2 is not, stride tricks and how numpy just modified the array descriptors instead of modifying the contents of the array when possible, how to interpret array descriptors,einsums blew my mind!
it's the hard incomprehensible Indian accent that gives it a feeling of time wasted.
Use the subtitles
Clear enough
I didn't find this to be the case at all. Found it to be quite clear and informative. Just wanted to comment this so no one gets deterred from watching by the comment.
@@Vanessa-vz5cw same, the guy was clear enough and easy to understand, the only word which kinda gave me giggles was array, which he was pronouncing as area or something
it's very clear to me too, even with 1.5x speed.
very informative video! einsum, stridetricks. I finally get how it works =)