This is the fourth part of a multi-part series that shows how to set up Jupyter Hub for a college class. The goal is to have a running version of Jupyter Hub that students in the class can log into when given a simple web link. In this post, we'll get to the fun stuff: installing jupyterhub on the server, installing Python packages and spinning up Jupyter Hub for the first time.

This is the third part of a multi-part series on how to set up Jupyter Hub for a class. My goal is to have a running version of Jupyter Hub that students can access using a simple web link. I am primarily writing to my future self as I may need to set up Jupyter Hub again for a future class. In this post, we are going to create a new Digital Ocean server (called a droplet) and create a non-root user with sudo privileges. Then we'll SSH into the droplet with PuTTY as the non-root user.

This is the second part of a multi-part series on how to set up Jupyter Hub for a class. This is my first time setting up a Jupyter Hub server. I am primarily writing to my future self as I may need to set up Jupyter Hub again for another class. In this post, we are going to create an SSH key on a Windows 10 machine using PuTTYgen.

This is the first part of a multi-part series that shows how to set up Jupyter Hub for an engineering programming class. This is my first time setting up a Jupyter Hub server. I am primarily writing to my future self as I may need to set up a Jupyter Hub server again for a different class in another quarter. I hope the lessons learned will also help other instructors tackle the same problem if they want to set up Jupyter Hub for their own class or team.

I was working on an engineering problem involving diffusion that involved a couple of different units including joules, grams, kilograms, meters, centimeters, moles, megapascals and weight percent. To make sure that I kept track of all the units and unit conversions throughout the problem, I thought I'd try using pint, a Python package for unit conversions.