[throwaway-wroc]

most of anything is 'uninspired garbage'. not sure what it's to do whether a particular phd should be awarded.

no-one is proposing that numpy isn't useful or people developing / maintaining tools aren't doing gods work. they have my endless gratitude and try to donate regularly.

however, phd training in my field -- natural/life sciences -- has a specific remit: you learn how to build and test a hypothesis, from start to end. optimising libraries is emphatically not it. as a scientist you should care whether you have a useful model that explains something about the world. this is orthogonal to how neatly you have implemented your linear algebra in python.