Introduction to notebooks

Jupyter notebooks are a convenient tool for interactive data exploration, rapid prototyping, and producing reports. The Virtual Research Environment provides free JupyterLab instances with persistent storage where you can run notebooks working with Swarm data. For more information, see the Swarm-VRE docs.

Notebook repositories
Name (GitHub Link) View (nbviewer) Launch/interact (VRE)
Swarm-DISC/Swarm_notebooks https://img.shields.io/badge/render-nbviewer-orange.svg (to do)
smithara/viresclient_examples https://img.shields.io/badge/render-nbviewer-orange.svg (to do)
pacesm/jupyter_notebooks https://img.shields.io/badge/render-nbviewer-orange.svg (to do)

Note

Sometimes notebooks won’t render directly on the GitHub website (or are slow). Try nbviewer instead (see the “Render” links above).

Notebooks can be uploaded to JupyterLab using the “Upload” button (which means you must first download the notebooks to your computer from GitHub). To easily access a full repository, open a command line console and use git:

To clone a repository to your working space:

git clone https://github.com/Swarm-DISC/Swarm_notebooks.git

(this will clone it into Swarm_notebooks within your current directory)

To clear any changes you made and fetch the latest version, from within Swarm_notebooks run:

git fetch
git reset --hard origin/master