Congrats, this is truly great work!
From: julia-users@googlegroups.com [mailto:julia-users@googlegroups.com] On Behalf Of Jarrett Revels Sent: Thursday, September 3, 2015 1:25 PM To: julia-users <julia-users@googlegroups.com> Subject: [julia-users] [ANN] ForwardDiff.jl v0.1.0 Released I'm proud to announce that we've tagged and released a new version ForwardDiff.jl (https://github.com/JuliaDiff/ForwardDiff.jl). ForwardDiff.jl is a package for performing automatic differentiation <https://en.wikipedia.org/wiki/Automatic_differentiation> on native Julia functions/callable objects. The techniques used by this package are more performant and accurate than other standard algorithms for differentiation, so if taking derivatives is something you're at all interested in, I suggest you give ForwardDiff.jl a try! If you don't already have the package, you can install it with Julia's package manager by running the following: julia> Pkg.update(); Pkg.add("ForwardDiff") If you already have the old version of ForwardDiff.jl, you can update it to the new one by simply running Pkg.update(). Note that the new version of ForwardDiff.jl only supports Julia v0.4. Julia v0.3 users will have to stick to the old version of the package. Also note that the new version introduces some breaking changes, so you'll probably have to rewrite any old ForwardDiff.jl code you have (I promise it'll be worth it). I've spent a good chunk of the summer overhauling it as part of my Julia Summer of Code project, so I hope other folks will find it useful. As always, opening issues and pull requests in ForwardDiff.jl's GitHub repo is very welcome. I'd like to thank Julia Computing, NumFocus, and The Betty and Gordon Moore Foundation for putting JSoC together. And, of course, I thank Miles Lubin, Theo Papamarkou, and a host of other Julians for their invaluable guidance and mentorship throughout the project. Best, Jarrett
