PRODUCTS AND SUPPORT


How to use Jupyter for multiuser environment


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This section explains you how to use JupyterHub for providing multiuser environment for R-Developer Kit.


  1. login to jupyter hub using ubuntu

    2. /img/common/jupyterhub_signin.png


  2. This will log you as an ubuntu user to the jupyterhub notebook.By default R-Developer Kit comes with ubuntu user.

    3. /img/gcp/r-studio-support/jupyter_home_page.png



  3. This VM comes with Jupyter with R-Kernel which provides a browser based IDE with the ability to create and share R based notebooks

    4. /img/gcp/r-studio-support/jupyter_with_R_kernel.png


  4. create new user and login with the that user.
  5. To add new user, RDP to your VM, open terminal and enter below command.
    6. sudo adduser "username"

    /img/gcp/r-studio-support/add_new_user.png



  6. This will create the new user. Fullsetup is copied into the home directory of new user.
    Each added user will get a separate R environment with R-Studio, Jupyter notebook and GUI desktop.
  7. login to jupyter with new user

    8. /img/gcp/r-studio-support/jupyter_login_with_new_user.png



  8. New server will spawn for this user which will have completely seperate ipython/jupyter enviroment from ubuntu user.

    9. /img/gcp/r-studio-support/jupyterhub_server_spawn.png



  9. This is new user homepage.
    10. /img/gcp/r-studio-support/jupyter_home_page_new_user.png



  10. R environment with R-Studio is created on desktop for new user. RDP to your VM and login with new user created in above step 5.

    11. /img/gcp/r-studio-support/rdp_with_new_user.png



    /img/gcp/r-studio-support/rdp-desktop-for-new-user.png



    /img/gcp/r-studio-support/r-studio-for-new-user.png



    • This way Jupyterhub is used to create jupyter/ipython enviroment for multiple users.Instead of subscribing to multiple VMs, one can subscribe to single VM and create multiple user to use the notebook.
    • It can be used in a classes of students, a corporate data science group or scientific research group.
    • It is a multi-user Hub that spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server.

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