JupyterHub

Why are we using a shared cloud environment?

Our hackweek tutorials are designed with executable code examples, which require certain combinations of Python software packages to run. Configuring reproducible software environments for all participants, each with different computers and operating systems, can be challenging. Our solution to this is to give everyone access to a cloud computing environment that can be accessed from any web browser, which eliminates the need for configuring each person’s computer.

We will encourage you to use our shared resources for all the tutorials, and you can optionally use this for your projects as well.

How do I access the shared cloud environment?

Access to our shared cloud environment (JupyterHub) is under this URL: https://snowex.hackweek.io!

First time login

Attention

Before going to https://snowex.hackweek.io you need to setup your snowex-hackweek organization membership correctly. See: How should I configure my GitHub account?

The first time you sign in, you will be asked to authorize the OAuth app as access to the JupyterHub is restricted to snowex-hackweek GitHub Organization members.

Note

The screenshots below will not exactly match what you see and you should see your user information for instance.

jupyterhub-authentication

After each login

Attention

It can take several minutes for new servers to launch on the cloud - be patient! Once things are spun up you will see your very own instance of a JupyterLab environment

jupyterhub-overview

When you log into JupyterHub you have access to your own virtual drive space under the /home/jovyan directory. No other users will be able to see or access your data files. You can add/remove/edit files in your virtual drive space.

How do I end my JupyterHub session?

Stopping the server happens automatically when you navigate to “File -> Log Out” and click “Log Out”! to end a session. You can also select “File -> Hub Control Panel -> Stop my Server”.

hub-control-panel-button

Attention

When you are finished working for the day it is important to explicitly log out of your JupyterHub session.

The reason for this is it will save us a bit of money! When you keep a session active it uses up AWS resources and keeps a series of virtual machines deployed.

Will I lose all of my work?

Logging out will NOT cause any files under /home/jovyan to be deleted. It is equivalent to turning off your desktop computer at the end of the day.