QHub Training Cluster

Quansight provides training around the PyData ecosystem. For this training material we often use a Qhub based training cluster. This guide aims to explain to newcomers how to log in to Quansight’s own QHub Training server. If you are looking at how to login to Your own organization’s QHub see the user getting started docs.

To access the training platform, you will need to:

  1. Register on https://training.qhub.dev.

Screenshot of the training platform

  1. Enter your email address (the same one associated with this invitation).

Login screen using Auth0

  1. Next, you should then receive an email from Quansight-training with a 6-digit code (remember to check your spam folder, just in case).

Screenshot of email with the login code

  1. Copy the code, head back over to the https://training.qhub.dev webpage and paste it when prompted.

Screenshot showing the code to be pasted on QHub login webpage

  1. This should allow you to launch the QHub instance for training. Once logged in, you should see the page below.

Screenshot of initial QHub login page

  1. Once the Start my Server button is clicked, you will be prompted with different server instances to choose from.

Screenshot of initial QHub page once user logged in

  1. Click on the Training Default option (or whichever option your instructor has directed you to) and wait to access your new JupyterHub instance, similar to the image below.

QHub instance started and populated with many environments

Congratulations, you are now logged in to QHub!

In case you run into any issues, please contact your instructor via email.

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