I’m an instructor teaching in a Data Science program, and have recently discovered a bit of an… odd situation related to the for-profit side of Julia.
I mostly teach Python (it’s the first language of data science at the moment, so I think to do otherwise would be unfair to students who want jobs), but am pulling in more and more Julia.
We’re also pushing more and more cloud computing, so I wanted to add a “Julia in the cloud” section to my courses. But while there are great tutorials and open source tools for launching dask on cloud platforms that are really easy to use, no such thing seems to exist for Julia. If you’re on a static cluster there’s ClusterManager.jl, but nothing for kubernetes or cloud APIs.
Except… for this: JuliaRun, the closed-source tools Julia Computing is selling.
I’m super on board with Julia Computing making money by providing support to enterprises, and making adaptations to Julia to make it more accessible. Indeed, Dask now has something similar. But hiding such a critical feature behind a paywall feels very problematic, and has the potential to really hinder Julia adoption.
How do people feel about that?
EDIT: grammar, unclear sentence.