Using D and std.ndslice as a Numpy Replacement

Re:Using D and std.ndslice as a Numpy Replacement by 9il on Sunday January 03, 2016 @12:28AM (#10829639)

Julia is really fast in 95% cases, but 5% still "make the weather". The pairwise summation is an example. I will post benchmarks D vs Julia next week ;)

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Re:Using D and std.ndslice as a Numpy Replacement by skariel1 on Sunday January 03, 2016 @04:37AM (#10830062)

I would say the biggest benefit of D is static typing. In Julia you can run a simulation and discover only after half an hour that you misspelled a function

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Re:Using D and std.ndslice as a Numpy Replacement by tadlan on Sunday January 03, 2016 @05:45AM (#10830191)

Make sure you use the devect macro or parallel accelerator if you're going to use vector iced code :)

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