Julia Computing Testimonials

"Moving from Python to Julia gives me the same feeling as moving from Perl to Python. More expressive code that runs faster, and is perfectly suited to quantitative computing."

"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 fact the key analysis, where I calculated the genetic diversity of each grid cell, was ~100 times faster in Julia - partly because Julia’s syntax facilitated clearer, simpler and more optimized code design."