JuliaPro and Julia Simultaneous Installations: Sensible? Conflicts?

[Elrod]

I haven’t used JuliaPro in a while. When I did, I ran into a lot of problems with version conflicts.
In particular, I remember wanting to use the latest Optim.jl, which had just undergone an API change – but I was stuck on an old version.
I head this got better as we moved further from Julia 0.5 (ie, almost all the packages have caught up to 0.6 now). I didn’t know until this thread that they’ve actually pinned the packages.

A little off topic, but:

Multivariate OLS

of course, nothing comes with everything. (yes, R does come with rootfinders, parallelism, and optimizers in the box.) fortunately, there is one julia, and not ten dialects of julia with newbies having to figure out which one to choose. it is a matter of where to draw the line. I just want julia to be a generally viable alternative in finance, economics, and statistics classes, where the students spend their 10 weeks learning julia, rather than 10 weeks researching package ecosystems for min…

Multivariate OLS

and you draw the line at whatever is needed for But that’s quite arbitrary. MATLAB and Octave come with pretty terrible statistics support but that’s fine. However, if they pulled out the ODE solvers people would rebel because that’s such core functionality. So why wouldn’t you say it’s a core functionality? Because what’s core is personal, except for the extreme basics. Julia is trying to make Base be those extreme basics because otherwise everything is core to some segment of the populatio…

Couldn’t JuliaPro solve some of these issues? That is, JuliaProStatistics, JuliaProEcon, JuliaProPhysics…
Packages tailored towards fields, so that they can be relatively lightweight, and cover basics that people in different fields need? People teaching classes can easily direct their students to JuliaPro[field].