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If your Jupyter server will not start or you are greeted with a blank page after logging in, it most likely means that your Jupyter server has crashed or has otherwise stopped working. In most of the cases the simplest fix is to restart the server. You can do this by browsing to the address https://jupyterhub.apps.stack.it.ntnu.no/hub/home (or {coursecode}.apps.stack.it.ntnu.no/hub/home for specific courses), and clicking the "Stop My Server" button and trying again.
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If a kernel is constantly crashing when running a specific notebook, it usually means that the kernel is trying to use more memory than the system has access to. If applicable, you can try to verify this by running the same code with fewer datapoints. We can increase the amount of allocated memory for very special cases, however please be aware it is often likely that your use-case will not fit into that category. That is not to say the specific use-case is not important, but but those special cases are very rare. We have limited resources available, and the goal of the hub is to serve as many users as possible.
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