“To deal with this volume of data and the complex inference problem of network discovery we require a language that provides good support for numerical programming and speed, which is why Julia has been such a good option. We find that Julia improves tremendously our productivity with these kind of …

“In the past, we might have used differential equation solvers in commercial software or Python. But the performance of DifferentialEquations.jl, along with the ability to easily submit jobs to the cloud makes JuliaHub a better choice for us – especially for tasks such as parameter estimation, where parallelization across multiple …