“Julia has the best of both worlds. When we are prototyping, we can rapidly create simple simulations or algorithms to perform general tests, taking advantage of the ease usually available in interpreted languages. After this phase, when algorithms are then used in simulators or multidisciplinary design optimization (MDO) tools, we …

"Coming from using Matlab, Julia was pretty easy, and I was surprised by how easy it was to write pretty fast code. Obviously the speed, conciseness and dynamic nature of Julia is a big plus and the initial draw, but there are other perhaps unexpected benefits. For example, I’ve learned …