I’m teaching a course using julia. it starts around the 20th of january. based on stefan’s announcement here: 0.6 release timeline I’m uncertain of what the best option is for my students. I’m inclined to run the course on v0.5, but I’m afraid that students will run into trouble some time mid February when they do
Pkg.add("DataFrames"), for example. In the best case they will see a bunch of deprecation warnings, but some packages may actually not work, if the maintainer uses v0.6 functionality. Having students check out a previous release of a package is an option that I would like to avoid.
any thoughts on this are helpful. thanks!
this is what stable releases are for. Just stick with Julia 0.5 and there won’t be any problems
Regarding DataFrames, I would tell students to do
Pkg.pin("DataFrames") at the start of the course too. See this previous discussion.
FWIW, I have found it helpful to create a package that students clone that handles this and other package related issues. I have one package that loads and reexports the main packages. It helps avoid frustration for those students who otherwise have issues with the initial start up of a new language.
thanks for the pointer to this excellent discussion, I couldn’t have formulated it as well as @dmbates. This is a course on computational economics, so the focus is on writing efficient code for computationally intensive algorithms. with the occasional
DataFrame here and there. I’ll do the