Compiling from source should be a matter of cloning and running `make`. It will take a while and use CPU though.
On Thu, Jan 21, 2016 at 2:47 PM, Mauro <[email protected]> wrote: > My timings are (on linux, 2012 i7 CPU) > - 0.14s original > - 0.05 my latest version > - 0.24 python (2 & 3) > > You could try to compile it yourself and see if that is faster. But I'm > not sure how much hassle that is on OSX. > > Maybe easier/quicker would be to install the 0.3 dmg. See whether that > gives better timing. > > Maybe someone how makes the .dmg can comment? > > On Thu, 2016-01-21 at 19:06, Dupont <[email protected]> wrote: > > @Mauro, > > > > I am using the dmg located at > > > https://s3.amazonaws.com/julialang/bin/osx/x64/0.4/julia-0.4.3-osx10.7+.dmg > > My timings using your code is .330s vs .1s for numpy. > > > > I would be happy if one told me that Julia has not caught yet, but the > fact > > that you have a speedup is troubling. > > I have a MacBook Pro (Retina, 15-inch, Mid 2015), on osx 10.11 > > > > Thank you for your help, >
