"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."

"A lot of our work involves solving mathematical models of the world in which the future is uncertain. Our workhorse is a solution algorithm called Stochastic Dual Dynamic Programming (SDDP). This works by solving hundreds of thousands of linear programs so speed is important."