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>Fir me, Lisp languages, Haskell, and Python are more general purpose. You mean Julia as language is not enough good for general purpose or it lacks ecosystem
by vasili111 7y ago
>Fir me, Lisp languages, Haskell, and Python are more general purpose.
You mean Julia as language is not enough good for general purpose or it lacks ecosystem (frameworks, libraries) for general purpose use?
- smabie 7y agoA little of both, I guess. The biggest issue is that I, personally, get uncomfortable with dynamic typing when the project starts becoming over 1-5 Kloc. So I tend to stick with stuff like Scala, Rust, or OCaml for non data science tasks.
- mark_l_watson 7y agoI didn’t express that correctly. What I meant to say was that I investigated Julia as a possible “use it for everything language.” For me, general purpose has to include deep learning tools. I really prefer Lisp and Haskell, but although Haskell’s TensorFlow support is pretty good, I found it easier to just use Python. I have had problems with the SBCL Common Lisp TensorFlow C bindings, but perhaps that was my fault.
- iLemming 7y agoAFAIK Clojurians doing some interesting stuff in that space. They've figured out Python Interop, writing books on Deep learning, Linear Algebra, etc. all that in Clojure. https://aiprobook.com https://aiprobook.com https://nextjournal.com/gigasquid https://nextjournal.com/gigasquid