"I chose Julia for the majority of the analyses, mainly because I felt it made my code clearer, more reproducible and easier to work with. Running the analyses was much faster in Julia than it had been in R, which I had used at the beginning of the project. In …

“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 …