This is a skeleton project for creating a reproducible, cross-platform analysis notebook, using Docker.
Developers and analysts using this skeleton for new development should
refer to DEVELOPERS.md for instructions on getting
started. Update this README.md so it is a suitable introduction to
your project.
You will need to have installed Git and Docker, please see the
INSTALLATION_GUIDE.md for further details.
Windows and Linux users should double-click the jupyter-lab file.
Users on macOS should double-click jupyter-lab-mac-os instead.
Note: if double-clicking the jupyter-lab file opens the file in VS Code, you
should instead right-click on the file and open it with Git for Windows.
This will build a Docker image with all software requirements installed, start a new Jupyter Lab server, and then provide a link to access this server.
The first time you run this command it may take some time to download and install the necessary software. Subsequent runs should be much faster.
Note: if running the command fails with:
docker: Error response from daemon: user declined directory sharing C:\path\to\directory
you should open the Docker dashboard, and then under Settings -> Resources -> FileSharing, add the appropriate path.
XXX Please change to either a paper (if published) or the repo. You may find it helpful to use Zenodo DOI (see DEVELOPERS.md for further information)