Julia for Management/Analysis of Johns Hopkins COVID Data
Like many analytics geeks, I’ve been tracking data on the Covid pandemic since early spring. My source is the Center for Systems Science and Engineering at Johns Hopkins University, with files for download made available at midnight Central time. I’ve established a pretty significant R infrastructure in JupyterLab to... Read more
On Machine Learning and Programming Languages
This article was co-written by Mike Innes (Julia Computing), David Barber (UCL), Tim Besard (UGent), James Bradbury (Salesforce Research), Valentin Churavy (MIT), Simon Danisch (MIT), Alan Edelman (MIT), Stefan Karpinski (Julia Computing), Jon Malmaud (MIT), Jarrett Revels (MIT), Viral Shah (Julia Computing), Pontus Stenetorp (UCL) and... Read more
Technical preview: Native GPU programming with CUDAnative.jl
After 2 years of slow but steady development, we would like to announce the first preview release of native GPU programming capabilities for Julia. You can now write your CUDA kernels in Julia, albeit with some restrictions, making it possible to use Julia’s high-level language features... Read more