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Yes...but one that is also very fast, portable and with great generic programming.

I had never considered Julia as a general purpose language. I assumed it was targetted mainly at data science etc.

The core language is general purpose, and IMO really good for high-performance work, but the community is focused on numerical code, so there aren't a lot of libraries for non-numerical/scientific/financial work at this point in time.

Stuff like Numba greatly decreases the need for Julia.

C++17 also feels surprisingly dynamic, and together with Cython for easy Python-C++ interop also decreases the need for Julia.

And reports from the Julia world are not exactly encouraging - http://danluu.com/julialang/

That report is over a year old, which for a 4 year old language is a very long time. The top comment in [1] is from a week ago and highlights why it is now mostly invalid.

[1] https://news.ycombinator.com/item?id=11070764

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