I'm currently working on a tiny project relying on NumPy and agree it's too complicated, and it's hard to reason and to read your own code later. But the propo

I'm currently working on a tiny project relying on NumPy and agree it's too complicated, and it's hard to reason and to read your own code later. But the proposal is very questionable. I like loops instead of broadcast (apply_...), but making them this kind of black magic just adds equal amount of mental load. As for compiled languages - they do optimize for SIMD, if you're ok running on CPU. Optimizing for CUDA and GPU parallelization... that's quite a niche demand, I think, to justify inconveniences for the more common users.