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I've been learning a bit of Go and I like what I've understood so far but one thing that seems somewhat lacking in the Go Eco system is mathy projects. I know t

I've been learning a bit of Go and I like what I've understood so far but one thing that seems somewhat lacking in the Go Eco system is mathy projects. I know there are some but I couldn't find many that were both active and to my taste. I was looking to learn and hopefully contribute. I was mostly looking for something mature for either mathematical optimization (stuff like linear, quadratic or integer programming) and (non-DL) machine learning. For C++, Java, Scala, Python and Julia (less sure about this), there seems to be much more. You can compare Go's gonum to Python's numpy. For Java's Weka, Scala's MLlib, Python's scikit-learn, C++'s Dlib to what Go is offering. Maybe Go leans more on its C-interop for these sorts of things which is a bit like numpy. Am I missing something? Will this change?

ChrisRackauckas 7y ago
What are you not sure of with Julia here? There are places in the ecosystem to not be sure of, but this isn't one. Julia has probably the most advanced mathematical optimization right now with JuMP (http://www.juliaopt.org/JuMP.jl/v0.19.2/ http://www.juliaopt.org/JuMP.jl/v0.19.2/) and some of the most advanced post-DL machine learning with the full language differentiable programming tools (Zygote, Tracker, ForwardDiff) which have showcased applications like quantum machine learning and neural stochastic differential equations (https://arxiv.org/abs/1907.07587 https://arxiv.org/abs/1907.07587). Some of it is still in flux, but in terms of ecosystem there's a lot of stuff there that you won't find in other languages.
- snowAbstraction 7y ago
  I meant personally I am less sure about Julia, that my knowledge is less sure. I've neither used it myself nor spent a few hours browser project source code unlike most of other stuff I mentioned. Since I am not finding what I am looking for in Go then maybe I should ought to try out Julia. Thanks for the JuMP reference. That looks cool.
Rotareti 7y ago
> I've been learning a bit of Go and I like what I've understood so far but one thing that seems somewhat lacking in the Go Eco system is mathy projects. I think this has to do with golangs poor FFI performance.

ChrisRackauckas 7y ago

What are you not sure of with Julia here? There are places in the ecosystem to not be sure of, but this isn't one. Julia has probably the most advanced mathematical optimization right now with JuMP (http://www.juliaopt.org/JuMP.jl/v0.19.2/ http://www.juliaopt.org/JuMP.jl/v0.19.2/) and some of the most advanced post-DL machine learning with the full language differentiable programming tools (Zygote, Tracker, ForwardDiff) which have showcased applications like quantum machine learning and neural stochastic differential equations (https://arxiv.org/abs/1907.07587 https://arxiv.org/abs/1907.07587). Some of it is still in flux, but in terms of ecosystem there's a lot of stuff there that you won't find in other languages.

snowAbstraction 7y ago
I meant personally I am less sure about Julia, that my knowledge is less sure. I've neither used it myself nor spent a few hours browser project source code unlike most of other stuff I mentioned. Since I am not finding what I am looking for in Go then maybe I should ought to try out Julia. Thanks for the JuMP reference. That looks cool.

Rotareti 7y ago

> I've been learning a bit of Go and I like what I've understood so far but one thing that seems somewhat lacking in the Go Eco system is mathy projects. I think this has to do with golangs poor FFI performance.