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Well, last time I posted something like this I think I made it sound way too narrow, so I'm trying overly broad this time, to get people who are interested to g
by KenoFischer 11y ago
Well, last time I posted something like this I think I made it sound way too narrow, so I'm trying overly broad this time, to get people who are interested to get in touch, because even if we don't have anything for them at this very moment, we might in the near future.
To narrow down, what we're looking for in the immediate future, anybody with interest in core language development, compilers, tool chain support, etc. Additionally, we will probably be hiring for our applications development team very soon, so if you're interested in data science, stats, etc. and like working with people on solving their challenging problems, please do reach out as well.
- dangjc 11y agoPlease put effort into a good IDE that leverages the type system! I've been using Julia for two years now, and there's enough code to navigate through that it's becoming difficult to maintain. I'm really starting to miss Java/C#/ even C++ IDEs where you can easily jump to a definition or get a non-fuzzy autocomplete. Not to mention the refactoring support of the IntelliJ products. For a language that promises to handle both the high level and the low level, it really is not scaling well with codebase size. I've also been reassessing my needs and realizing that only about 20% of my codebase is quantitative code, and then with most of the work being sent off to raw CUDA or Theano. So I'm actively considering a better tooled language. I love how expressive Julia is, but that may be getting in the way of tooling. One issue that would help a lot is return type declarations (https://github.com/JuliaLang/julia/issues/1090 https://github.com/JuliaLang/julia/issues/1090). Return types would dramatically ease creation of IDE plugins.
- KenoFischer 11y agoThat's definitely very high on the TODO list!
- Nrpf 11y agoAny tidbits about whats in store for the stats ecosystem? Tidyr/Dplyr style workflow? Flexible and Generalized stats MLE/ Bayesian modeling using distributions? Streaming and out of core support? What will the timeline be like? I'm trying to make an architecture decision right now and this would be helpful (and whet my curiosity :p)