Setting up Jupyter Lab, virtual env and other Linux fun Video at: https://youtu.be/3_r0LqzMAD8 Version control at: https://gitlab.com/denner1/cialug-august-2020-jupyter-lab

1. Jupyter Lab
Andrew Denner
August 2020 Central Iowa Linux Users Group
Video of talk at: https://youtu.be/3_r0LqzMAD8
Source: https://gitlab.com/denner1/cialug-august-2020-jupyter-lab

2. Welcome
We will get
started shortly

3. Welcome to CIALUG
Third Wednesday of the month
http://cialug.org
Email List
IRC/Slack
Want to present?

4. Checkin
How are you?

6. Linux News

7. Our Presenter
• Senior Software Developer
• Linux Tinkerer
• Twitter: @adenner
• Slides will be at:
http://denner.co

8. Jupyter Lab
Andrew Denner
August 2020 Central Iowa Linux Users Group

9. A brief history
• Spun off from ipython in
2014 by Fernando Pérez
• Jupyter core languages
• Julia
• Python
• R
• But now rather
agnostic (.net
anyone?)

10. Notebooks TNG
• Released in 2018
• Same building blocks
• Cool new interface!

12. https://mybinder.org/v2/gh/jupyterlab/jupyterlab-demo/try.jupyter.org?urlpath=lab

15. I want more!

16. First Some setup
• Follow along: https://gitlab.com/denner1/cialug-august-2020-jupyter-lab
• Initial setup on Ubuntu Fossa (20.04) Docker image
• docker run -p 8080:8080 ubuntu:20.04
• Or easy button to skip ahead
docker run --rm -it –p 8080:8080 registry.gitlab.com/denner1/cialug-august-
2020-jupyter-lab:latest
• Please note: this image is not optimized for size or security
and is not production ready!

17. Setup cont.
• First setup virtualenv and some prereqs
• apt-get install git r-base r-cran-devtools nodejs wget python3-pip build-essential libssl-
dev libffi-dev python-dev python3-venv
• source venv/bin/activate
• Verify which env we are in with ‘which pip’ (also note hint in the prompt)

18. Why virtualenv
• Not really needed for docker
• Think of it as python in a bottle
• Other options are conda or
just yell YOLO (or docker in
our case)

19. Setup cont.
• pip install jupyterlab ipywidgets
• jupyter lab –ip=0.0.0.0 –port=8080 –allow root
• Install R apt-get install r-base r-cran-devtools
• In R:
• devtools::install_github("IRkernel/IRkernel")
• IRkernel::installspec()
• GnuPlot
• apt install -y gnuplot
• pip install gnuplot_kernel
• python -m gnuplot_kernel install --user

20. Useful tips
• ! Will run in the shell eg.
• !pip install packagename
• Tab completion is your friend
• help()
• quickref
• Lots of Kernels out there:
https://github.com/jupyter/jup
yter/wiki/Jupyter-kernels

21. Demo

22. Links
• https://plotly.com/python/ipyt
hon-notebook-tutorial/
• https://gist.github.com/frfahim
/73c0fad6350332cef7a653bc
d762f08d
• https://jupyter.org/try
• https://github.com/jupyter/jup
yter/wiki/Jupyter-kernels