It is already gaining Wall Street’s attention, notes Keith Lubell, CTO at investment bank Berkery Noyes. “What really excites us is that it’s interesting that you can write high-level, scientific and numerical computing but without having to re-translate that,” he says. “Usually, if you have something in R or Matlab and you want to make it go fast, you have to re-translate it to C++, or some other faster language; with Julia, you don’t—it sits right on top.”