Closed betatim closed 6 years ago
Questions to check:
devtools
for R so people can install new packages? If yes, does it work and install stuff into the proper location?pip install
do the right thing for this repo? What about conda
?ip <- as.data.frame(installed.packages()[,c(1,3:4)])
rownames(ip) <- NULL
ip <- ip[is.na(ip$Priority),1:2,drop=FALSE]
print(ip, row.names=FALSE)
gives you a list of all installed packages. I just played around with an R notebook and it does include devtool
as well as tidyverse
. I noticed that tidyverse
is version 1.0.0
, while the current version is 1.2.1
, so an update here would be nice (though people should be able to use devtools
to upgrade themselves but it takes forever in my try)
Let's see if we can get the base image modified https://github.com/jupyter/docker-stacks/pull/562
Let's merge this, as notebooks.oh.org is currently deployed with this setup. We can fine tune image/installed packages in a new PR.
This adds a custom image with basic "data-science" libraries (R, Julia and Python + libraries). This starts closing #4.
In addition it adds a memory limit per user pod. We guarantee each user 1GB and limit them to 4GB.