LR2-vis-server.md

Remote Lab 2 - Setting up a vizualization server in a VM

Requirements

In your VM created in LR1:

• Install nova instrumentation

--> sudo pip install novainstrumentation

Lab Goals

Goal 1 - setup local Jupyter notebook server

In your VM created in LR1:

• Verify if python 3 is installed:

--> python3 --version

• If not install it

--> sudo apt install python3

• Installing Jupyter Notebook
  • Option 1 (light)

  --> sudo apt install jupyter-core
  --> sudo pip3 install notebook
  

  • Option 2 (miniconda)

  https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html
  

  • Option 3 (full anaconda)

  https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html
  

• test Jupyter notebook locally

  --> jupyter notebook
  

Goal 2 - setup Bokeh

• install bokeh

    --> sudo pip3 install bokeh
  

• Try Bokeh

  https://nbviewer.jupyter.org/github/bokeh/bokeh-notebooks/blob/master/quickstart/quickstart.ipynb
  

Goal 3 - setup remote Jupyter notebook server

• Follow the insrtuctions: http://jupyter-notebook.readthedocs.io/en/latest/public_server.html

• copy next file to ~/.jupyter/jupyter_notebook_config.py

# Configuration file for jupyter notebook.
c = get_config()
c.NotebookApp.ip = '*'
c.NotebookApp.open_browser = False
# This pass is: raspberry
c.NotebookApp.password = u'sha1:ceaf7b8b148f:92bcc3411cf43275a324e8a8b6755601b5419610'
c.NotebookApp.port = 80
c.IPKernelApp.pylab = 'inline'

• Start the notebook server in the shell of raspberry pi

sudo jupyter notebook --config=.jupyter/jupyter_notebook_config.py --allow-root

Then open a browser in your computer and write the IP address of your VM.

Goal 4 - Create in VM a shared folder with the host

• In VM choose a shared folder in host by configuring: Devices - Shared Folderes - Shared Folder Settings
• Install in ubuntu

   --> sudo apt-get install virtualbox-guest-dkms
   --> sudo apt-get install virtualbox-guest-utils
  

• Add user to virtualbox share

   --> whoami (to confirm user name)
   --> sudo adduser <user name> vboxsf
  

• reboot VM
• The new shared folder should become available in ubuntu desktop

Goal 5 - Launch the bokeh-server

Perform some examples using Bokeh ploting commands.

Report - 🔴 Until Friday 20:00 of your remote lecture

• Submit a pdf in moodle with a screenshot of a bokeh plot produced in your jupiter notebook

Going deeper

• See the 5 minute intro to bokeh: http://nbviewer.jupyter.org/github/bokeh/bokeh-notebooks/blob/master/quickstart/quickstart.ipynb
• See more advanced examples on the workshop from Cristine Doig: http://chdoig.github.io/scipy2015-blaze-bokeh/#/
• The examples are in: http://chdoig.github.io/scipy2015-blaze-bokeh/#/