Re: [jupyter] Reg: Jupyterhub for multiple notebooks - Student evaluation

2018-09-13 Thread suchit
Thank you Doug. For a follow up question, I was just wondering if its a good idea to create a new linux user account when I just need to take say a series of 6 tests. On Thursday, September 13, 2018 at 3:22:27 PM UTC+5:30, Doug Blank wrote: > > In my opinion, you should do it the normal,

Re: [jupyter] Reg: Jupyterhub for multiple notebooks - Student evaluation

2018-09-13 Thread Doug Blank
In my opinion, you should do it the normal, regular way: use JupyterHub, with each student having a login. We have a "jupyterhub service" that make it easy to 1) add a bunch of user logins at once, 2) assign them easy to remember passwords, and either 3) print out the passwords/accounts or 4)

[jupyter] Re: Restoring computation output after disconnect in Jupyter notebook

2018-09-13 Thread Alexey Goloviznin
Hi, any news therer? -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to jupyter+unsubscr...@googlegroups.com. To post to this group, send email to

[jupyter] Reg: Jupyterhub for multiple notebooks - Student evaluation

2018-09-13 Thread suchit
Is it a good idea to share multiple notebook running on 1 ID or Running multiple IDs and separate notebooks. Use case: I have a class of 80 students. Need to take their test online on Jupyter Hub. What I can do is build a website and create 80 notebooks running on the single Hub account (Same

[jupyter] Kubernetes NVIDIA GPU/extraVolumeMount issues

2018-09-13 Thread Benedikt Bäumle
Hey guys, I am currently setting up a Kubernetes bare-metal single node cluster + Jupyterhub for having control over resources for our users. I use Helm to set up jupyterhub with a custom singleuser-notebook image for deep learning. The idea is to set up the hub to have better control over

[jupyter] Re: Restoring computation output after disconnect in Jupyter notebook

2018-09-13 Thread Alexey Goloviznin
Hi, any news therer? суббота, 11 июля 2015 г., 3:03:25 UTC+3 пользователь Brian Cheung написал: > > Hi, > Is there a way to restore the output of a notebook after a disconnect? I > usually leave computations running on a server and disconnect/suspend my > laptop. Unfortunately, when I go to

Re: [jupyter] Change Log Generator for GitHub

2018-09-13 Thread Carlos Córdoba
Hey Steve, We created a package to do exactly this kind of job for the projects in the Spyder org: https://github.com/spyder-ide/loghub/ It started as a simple script of mine but Gonzalo turned into a really powerful package, that can be customized with lots of options and Jinja templates

[jupyter] JupyterHub is started but not able to log in: Error loading server extension jupyterlab

2018-09-13 Thread Raymond Xie
I am having error below when I tried to use jupyterhub: Spawning jupyterhub-singleuser --port=50928 [W 2018-09-13 22:41:17.283 SingleUserNotebookApp notebookapp:1554] Error loading server extension jupyterlab Traceback (most recent call last): File

Re: [jupyter] Kubernetes NVIDIA GPU/extraVolumeMount issues

2018-09-13 Thread Chia-liang Kao
Hi, 1. for user home pvc, make sure you have correct fsGid configured. if you use docker-stack (jupyter/*) based notebook, it should also try properly to chown the user home directory before su into the jovyan user. 2. is your single user image with the tensorflow-gpu or tensorflow package?

Re: [jupyter] Re: Restoring computation output after disconnect in Jupyter notebook

2018-09-13 Thread Matthew Seal
One way I combat this for really long running notebooks is to run it with Papermill on the server in a screen session and come back to it in the morning. You can also use `--log-output` if you want the execution logs piped to a stream or file as well. Not

Re: [jupyter] Re: Restoring computation output after disconnect in Jupyter notebook

2018-09-13 Thread William Stein
Hi, I implemented "capturing all output even with no browser" for the CoCalc rewrite of Jupyter. If you try Jupyter notebooks at https://cocalc.com, or using the cocalc-docker image (https://github.com/sagemathinc/cocalc-docker), you can see what this feels like. It works by storing all state