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[D] How do you set up a multi-user data-science workstation?

I’m becoming the de-facto sysadmin for a single machine, to be used as a server for a small group of people. I’ve been using Linux for almost a decade now, but I’ve never set up a server for multiple users.

I imagine I’m not the only person who has done this. My plan is roughly as follows:

  • Making a new user for everyone using useradd.
  • Setting everyone up to use ssh and public-private key pairs so they can connect. (Everyone is on Mac OSC and/or some flavor of Linux.)
  • Installing anaconda to /opt, and modifying everyone’s .bashrc (or, alternatively, modifying /etc/profile if that’s better?)
  • Setting up a default environment with numpy, jupyter-lab, and other common data science tools.
  • Showing everyone how to SSH tunnel jupyter-lab and run it in their browser.
  • Basic security measures (fail2ban, no SSH password auth, etc.) and checking with my organizations IT to make sure things work properly.

I’m still wondering… * Lock the base conda environment, so that people have to make child environments and can’t modify the base. * Is this the best way to set up Anaconda for multiple users? Is /usr/bin a better place to put it? Etc. * Would there be any bottlenecking issues with multiple people using ssh and tunneling on the same port?

submitted by /u/gnulynnux
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.