[mark_l_watson]

Great to see my favorite language evolving! I also use various lisps, Java, Haskell, Typescript, JavaScript, Python, etc., but I am happiest when coding in Ruby.

Unfortunately, most of what I do now is machine learning, and Python wrappers for underlying C++ code have by far more support than Ruby. (Ruby does have some great ML projects and libraries though).

[MrBra]

Hopefully this will make it better!

http://www.somatic.io/blog/tensorflow-is-coming-to-ruby

It's a Ruby wrapper for the popular Google TensorFlow ML library. It will probably be completed before this autumn because it was originally a GSOC project (and couldn't be admitted because it was found to be missing some Google requirements at the last moment). It's now crowdfunded but it seems that Google is still offering some degree of support to interested developers [1].

In the meanwhile also check this out https://gist.github.com/gbuesing/865b814d312f46775cda "Resources for Machine Learning in Ruby", some of which are again wrappers around popular ML C libraries, thus removing the problem about sheer speed.

[1] https://github.com/tensorflow/tensorflow/issues/50

[sundarurfriend]

I'm on a similar boat, and am eagerly awaiting production-ready releases (and wider adoption) of both Crystal[1] and Julia[2] languages. Crystal for the Ruby-ish syntax, and Julia because it seems to be shaping up into a language I like even more than Ruby.

[1] https://github.com/crystal-lang/crystal [2]