[kazagistar]

No. Julia makes extensive use of garbage collection, and has potentially very spikey latency, because any time it runs code which it hasn't run before (or the same code with different types passed in) it runs the compiler. Oh yeah, so that also means it needs LLVM as part of the runtime system.

It is an amazing language for its intended use, which is algorithmic code. From a language perspective, I would chose it over Matlab, R, Numpy, etc any day. It is approachable for grizzled library writers (types, optimizations, introspection at many levels, macros, etc) and more "casual" untrained scientist types (who just want to punch in their algorithm and call it a day). But if you want systems programming, there are plenty of other languages which fill that niche better.