Various classes are using JuliaBox now. There are occasional hiccups, but they are much fewer nowadays. If you do use JuliaBox, we'll be happy to support in any way we can.
Also, the JuliaBox local install is a good way forward if it is not a large class. It will work on one big shared memory machine. The local JuliaBox does not support the multi-machine setup that JuliaBox.org does for now. -viral On Monday, November 16, 2015 at 2:44:57 PM UTC+5:30, Sheehan Olver wrote: > > > You can do this locally? I tried using JuliaBox in my classes last year, > but it was a bit of disaster, as it was unreliable. > > > > > On 16 Nov 2015, at 7:53 PM, Sisyphuss <zhengwend...@gmail.com> wrote: > > Run a JuliaBox server? > > On Monday, November 16, 2015 at 9:05:38 AM UTC+1, Sheehan Olver wrote: >> >> Another requirement is that the packages are shared across users, to save >> disk space. Gadfly + PyPlot + IJulia (with Conda.jl version of Jupyter) >> takes over 750MB. Does .julia need to be writable? If not, I guess both >> options are still possible. >> >> On Monday, November 16, 2015 at 2:05:45 PM UTC+11, Sheehan Olver wrote: >>> >>> >>> I'm trying to figure out the "best" way to create a stable version of >>> Julia + Gadfly + PyPlot + IJulia (+ other packages?) for a semester long >>> course. I don't want to have the students run Pkg.add(...)/Pkg.update(), >>> as packages have a tendency to occasionally break on updates, and it's a >>> headache dealing with this during the lecture. >>> >>> Two possible solutions I can think of of are: >>> >>> 1) Prebake a .julia folder that contains all the necessary resources, >>> with a script to reset in case the students break it with Pkg.update(). >>> 2) Use system image >>> >>> http://docs.julialang.org/en/release-0.4/devdocs/sysimg/ >>> >>> that includes all the necessary packages. It's not really clear how to >>> do this from the documentation, though. I'm also not sure how that would >>> interact with Pkg.update() though, so probably instructions to delete >>> .julia would also need to be given. >>> >>> >>> Any other options I'm missing? If 2 is recommended, any tutorial how to >>> do this? >>> >> >
