Julia Computing Raises $4.6M in Seed Funding

Re:Julia Computing Raises $4.6M in Seed Funding by moomin on Wednesday June 21, 2017 @04:13AM (#14601860)

This sounds like a small thing, but with 1-based arrays, I'd bet more on it taking share from MatLab/R than from Rust or Java.

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Re:Julia Computing Raises $4.6M in Seed Funding by dangjc on Thursday June 22, 2017 @12:35PM (#14613431)

I didn't think 1 based arrays would be a big deal, but whenever I try to port code from Julia to almost any other environment (C++, python/numpy, scala, JS), it becomes one of the hardest things to reason about quickly and correctly.

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Re:Julia Computing Raises $4.6M in Seed Funding by ScottPJones on Thursday June 22, 2017 @08:38PM (#14616373)

1-based arrays, and column-major layout of arrays annoyed me at first, however, one of the beautiful things is that much of Julia is written in Julia. If you want 0-based (or arbitrary based!) arrays, then simply use the https://github.com/JuliaArrays/OffsetArrays.jl package, and PermutedDimArrays have been added to Base, to handle some of the issues of dealing with row-major (and other sorts of memory layout) matrices.

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Re:Julia Computing Raises $4.6M in Seed Funding by moomin on Friday June 23, 2017 @08:25AM (#14618621)

Doesn't this mean that instead you're now dealing with inconsistent data representations?

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