Using D and std.ndslice as a Numpy Replacement

Re:Using D and std.ndslice as a Numpy Replacement by 9il on Saturday January 02, 2016 @10:43PM (#10829403)

Yes, Julia is amazing! In the same time, if you want to write a package for Julia you _may_ need to use C/C++. D is going to have integration with Julia in 2016 ;)

D already have good integration with Python. You may want to read this article http://d.readthedocs.org/en/latest/examples.html#plotting-wi... (it may be a little bit outdated).

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Re:Using D and std.ndslice as a Numpy Replacement by tadlan on Saturday January 02, 2016 @11:32PM (#10829507)

What would one need to use c or c++ to write a julia package? It's as fast as native code so no need to use multiple languages.

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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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