On Sunday, 3 January 2016 at 00:09:33 UTC, Jack Stouffer wrote: > On Saturday, 2 January 2016 at 23:51:09 UTC, Ilya Yaroshenko wrote: >> This benchmark is _not_ lazy, so ndslice faster than Numpy only 3.5 times. > > I don't know what you mean here, I made sure to call std.array.array to force allocation. In the article: auto means = 100_000.iota <---- 100_000.iota is lazy range .sliced(100, 1000) .transposed .map!(r => sum(r) / r.length) .array; <---- allocation of the result In GitHub: means = data <---- data is allocated array, it is fair test for real world .sliced(100, 1000) .transposed .map!(r => sum(r, 0L) / cast(double) r.length) .array; <---- allocation of the result -- Ilya