Local Jupyter Notebook

Jupyter Notebook is a web-based interactive computing environment that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It is a great tool for data analysis and visualization. In this Jupyter Notebook environment, sdRDM is already installed, allowing the usage of RDM.

  1. Install Docker

  2. Run the FOR5596 Jupyter Lab Docker container from a command line

    docker run -it --rm -p 8888:8888 -v "${PWD}":/home/jovyan/work --name FOR5596-notebook haeussma/for5596-notebook

  3. Open the Docker Desktop application navigate to Containers and click on the running container named FOR5596-notebook

  4. within the Logs of the container, you will find a token, which is needed to access the Jupyter Notebook. 

    2024-02-25 17:44:54 [I 2024-02-25 16:44:54.937 ServerApp]     http://127.0.0.1:8888/lab token=a9a39e2f219edac28f66cf2c88a9954978f78626e58e03f6
2024-02-25 17:44:54 [I 2024-02-25 16:44:54.937 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
2024-02-25 17:44:54 [C 2024-02-25 16:44:54.939 ServerApp] 
2024-02-25 17:44:54     
2024-02-25 17:44:54     To access the server, open this file in a browser:
2024-02-25 17:44:54         file:///home/jovyan/.local/share/jupyter/runtime/jpserver-7-open.html
2024-02-25 17:44:54     Or copy and paste one of these URLs:
2024-02-25 17:44:54         http://e2376db8149d:8888/lab?token=a9a39e2f219edac28f66cf2c88a9954978f78626e58e03f6
2024-02-25 17:44:54         http://127.0.0.1:8888/lab?token=a9a39e2f219edac28f66cf2c88a9954978f78626e58e03f6
2024-02-25 17:44:55 [I 2024-02-25 16:44:55.984 ServerApp] Skipped non-installed server(s): bash-language-server, dockerfile-language-server-nodejs, javascript-typescript-langserver, jedi-language-server, julia-language-server, pyright, python-language-server, python-lsp-server, r-languageserver, sql-language-server, texlab, typescript-language-server, unified-language-server, vscode-css-languageserver-bin, vscode-html-languageserver-bin, vscode-json-languageserver-bin, yaml-language-server

    In the example above, the token is a9a39e2f219edac28f66cf2c88a9954978f78626e58e03f6.

  5. Click on the link 8888:8888 in the header of the container to open the Jupyter Notebook in your default web browser.

    FOR5596-Notebook container

  6. Enter the token from the logs in the field Token and click on Log in.

  7. You are now in the Jupyter Notebook environment your local files can be accessed via the work folder.