![]() ![]() For the moment, please refrain from doing any heavy processing in the notebook itself and instead opt for letting a batch job do that for you.Īgain, the JupyterHub deployments that we expose at the URLs above are what you should use to run a notebook. Notebooks are currently launched on LC Login nodes (there are plans to launch kernels in allocations instead). You can run notebooks that you obtain with other users, but be advised, as with running any code not written by you, exercise caution. Notebooks are files essentially equivalent to python files additionally containing output from when it was last run. ![]() ![]() Work is saved in ".ipynb" files (in your home directory by default) and can be restored on launch. Notebook lifetimes are tied to your credential lifetimes (12 hours) and must be relaunched after the time has expired. Please see the section "Custom Kernels" for more info. Bear in mind that launching a notebook requires an accessible python3 install on the target machine and if none is available, spawning will fail (this mostly applies to some EA systems, for now). The LC JupyterHub deployment allows you to select a machine on which you have an account and to remotely spawn a notebook on a login node of that machine. That said, only launch notebooks through the LC JupyterHub deployment at one of the following links, not on your own: Changes were made to the default JupyterHub in order to launch Jupyter Notebooks that adhere to LC security policies. JupyterHub is a tool for launching multiple notebooks as different users. ![]()
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