Step-by-Step: How to Get Started with JupyterHub

1. Open the Login Page (ENTRA ID)¶

1. Go to the JupyterHub website

2. Enter your CSUF campus email (e.g. tuffy@csu.fullerton.edu) and click Next

3. Enter your password and click Sign in

2. Sign in with DUO EAM¶

• You’ll be redirected to a DUO EAM multi-factor authentication gateway.

• Click Continue

• Approve the login using your preferred verification method (e.g., push notification on your phone or a one-time passcode)

3. Permission Request¶

• You’ll see a Permission Request page asking for access to your CSUF account.

• Click Accept to authorize the JupyterHub service.

4. Set Server Options¶

Once logged in, you’ll see the Server Options screen.

Here you can configure:

• GPUs (optional; set to 1 if using GPU-enabled images)

• Cores (e.g., 1, 2, or more depending on your job)

• RAM (e.g., 4 for 4GB; leave blank for default)

• GPU Type (optional)

• Image this is your environment, such as: NRP Deep Learning & Data Science Full, PyTorch, SciPy, TensorFlow, R, Julia, etc.

5. Start Your Server¶

• Once you’ve configured your environment, scroll down and click Start

• This will launch your JupyterHub server. It may take up to a minute to initialize.

6. Start Coding!¶

Welcome to your workspace!

• Open or create a .ipynb notebook

• Write your code

• Run

7. Stop Server¶

• Always remember to stop your server to release resources when you’re done.

• How to Release Resources on JupyterHub Services