I think everyone agrees that when they want to do some data analysis they pip install numpy and get to work. It's only the navel gazers who are concerned about

I think everyone agrees that when they want to do some data analysis they pip install numpy and get to work. It's only the navel gazers who are concerned about cpythons performance instead of treating python as a 'race to C' wherever performance is concerned. Get used to this approach since it crops up everywhere. If you target a gpu, you try to keep the work in the gpu. When we move to use bpf and io_uring things will be a race to the next kernel program. If you target the CPU then your code is a race to C or a race to the function that calls the relevant cpu instruction that will make your code fly.