Julia is becoming too complicated for an average data scientist like me to master. It is not that much easier than C++ (which I know some). Considering it wants to attract people with Matlab background... I think it kind of defeats the purpose.
The list of BREAKING CHANGES still keeps me away from doing more in Julia right now.<p><a href="https://github.com/JuliaLang/julia/blob/release-0.6/NEWS.md#breaking-changes" rel="nofollow">https://github.com/JuliaLang/julia/blob/release-0.6/NEWS.md#...</a>
Julia Computing announced its seed round yesterday[1], hoping we can see some additional velocity here.<p>[1]<a href="https://juliacomputing.com/press/2017/06/19/funding.html" rel="nofollow">https://juliacomputing.com/press/2017/06/19/funding.html</a>
This feels appropriate:<p><a href="https://danluu.com/julialang/" rel="nofollow">https://danluu.com/julialang/</a><p>tl;dr: Julia is a great idea, but with poor testing and quality control. Community is (apparently) a bunch of dicks.<p>Just to be clear, I don't personally have much experience with it, I'm just summarizing Dan's review.
<a href="https://danluu.com/julialang/" rel="nofollow">https://danluu.com/julialang/</a> brings up some good points<p>Have they been addressed by now?