Connecting to Jupyter notebook with VS Code¶

Use VS Code when you want editor features like linting and AI copilots. You’ll connect VS Code to the Jupyter server running on your instance.

Before you start¶

Follow this first:

• Accessing JupyterLab

That flow covers:

• Securing your instance (Securing Your Instance)
• Creating the SSH tunnel to 127.0.0.1:8888
• Getting the token=... value

Connect VS Code to the remote kernel¶

Make sure the VS Code Jupyter extension is installed. Then connect to the forwarded URL (http://127.0.0.1:8888).

1. Select an existing Jupyter server

   Open any local *.ipynb. Select Existing Jupyter Server.

   

2. Enter the local forwarded URL

   Use:

   • http://127.0.0.1:8888

   

3. Authenticate with the token

   When prompted for a password, paste the Jupyter token value.

   

4. Name the server

   Pick any display name.

   

5. Select a kernel

   Choose a kernel. These are typically available on the image:

   • Julia
   • Python (Conda)
   • R

   

You should now be able to run code on your remote machine through VS Code.