The containers in that table are provided on the Stanford clusters defined for the tool under scratch, named by their hash. The purpose of the containershare is so that can easily provide version controlled, pre-built containers that are ready to go for you! In fact, the containershare is not only a table on the web, it’s (on Stanford servers)Īn actual folder of the shared containers (hence the container share!) that is looked at before other avenues. Watch the above in action in the video below, and keep reading to try it out! access the notebook in a browser on your local machine, or shell into the node.use the forward tool to start an interactive (or regular ssh) session.configure the forward tool for your cluster.if you don’t find the right one, you can ask to build it or build it yourself from a template.find a container that we like on the containershare.This might mean Jupyter notebook, or even a notebook with Julia, or R. To use Sherlock, Farmshare, or one of the other Stanford clusters to run an interactive notebook. You are a graduate student, a postdoc, or staff in lab, and you want
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