"We were initially attracted to Julia because of the innovation we saw going on in the community. The computational efficiency and interactivity of the data visualization packages were exactly what we needed in order to process our data quickly and present results in a compelling fashion."

"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 …