A look at how JupyterHub and Jupyter are being used to enable accessibility and scale of notebooks for teaching.

1.
JupyterHub
Learning at Scale
Carol Willing
Cal Poly SLO, Project Jupyter
Education Summit
May 18, 2017
PyCon 2017
@willingcarol

2. Thank You

3. Agenda
• Learning
• Jupyter Notebooks and JupyterHub
• Principles of learning
• Scaling with JupyterHub
• Next steps

4. Learning
Credit: Karen Rustad Tolva

5. Learning results from
what a student does and
thinks and only what the
student does and thinks.
Herbert A. Simon

6. The teacher can advance
learning only by
influencing what the
student does to learn.
Herbert A. Simon

7. Jupyter
Notebooks
and
JupyterHub

8. Joy of exploration

9. Jupyter notebooks engage learners

10. A single user Jupyter notebook server
Python
R
Julia

11. JupyterHub

12.
• Manages authentication
• Spawns single-user notebook servers
on-demand
• Gives each user a complete notebook
server
What does the Hub do?

13. Principles
of
Learning

14. Motivate
Curiosity
Engage
Connect
Wow
Develop
mastery
Motivate
Apply knowledge

15. Develop
mastery
Motivate
Apply knowledge
Develop
mastery
What if...
Iterative
Attempts
Failure
Persistence
Interactive
Feedback

16. Develop
mastery
Motivate
Apply knowledge
Apply
knowledge
Domains
Experience
Cross-culture
Complex problems

17. Scaling
with
JupyterHub

18. Motivate 1
• Work with student interests
https://nbviewer.jupyter.org/
• Wow with possibilities
https://github.com/jupyter/jupyter/wiki/A-gallery-
of-interesting-Jupyter-Notebooks
• Get them started with tmpnb and binder
https://try.jupyter.org
http://mybinder.org/
Gallery of Interesting Notebooks
nbviewer
Project Jupyter community

19. • Start with a proven curriculum
http://pyvideo.org/pycon-us-2013/a-hands-on-
introduction-to-python-for-beginning-p.html
• Hands on to engage students
• Takeaway notebooks reduce
student stress
https://github.com/pythonsd/intro-to-
python
Motivate 2
Intro to Python
San Diego Python

20. • Exploration and experimentation
http://pyvideo.org/scipy-2016/labs-in-the-wild-teaching-
signal-processing-using-wearables-jupyter-notebooks-
scipy-2016.html
• Physical media with wearables and
electronics
• Real world, self-directed projects
Motivate 3
Teaching signal processing
using Wearables and Jupyter
Notebooks
Demba Ba

21. • Feedback and communication with
students using nbgrader
http://kristenthyng.com/blog/2016/09/07/
jupyterhub+nbgrader/
• Progression to complex examples
and tasks
https://github.com/kthyng/
python4geosciences
Develop mastery 1
Python for Geosciences
Kristen Thyng

22. Excellent resource on using tmpnb and
JupyterHub for teaching
http://jupyter.rocks/
https://github.com/tanyaschlusser/Jupyter-with-R
Develop mastery 2
Using Jupyter notebooks
with R in the classroom
Tanya Schlusser

23. Develop mastery 3
Cal Poly SLO
Data Science 301
Brian Granger
• Intensive data science course for
undergraduates
https://github.com/calpolydatascience/data301
• Ansible deployment
https://github.com/jupyterhub/jupyterhub-deploy-
teaching
• Research project and student
interns
http://www.calpolynews.calpoly.edu/news_releases/2015/
July/jupyter.html

24. Apply knowledge 1
Berkeley Data Science
Data8
UC Berkeley
http://denero.org/data-8-in-spring-2017.html
https://github.com/data-8/jupyterhub-k8s
http://data8.org/
http://data.berkeley.edu/
http://data.berkeley.edu/about/videos
•Campus wide curriculum
•Cross-discipline
•Kubernetes deployment of
JupyterHub
• Zero to JupyterHub with Kubernetes
https://zero-to-jupyterhub.readthedocs.io

25. Apply knowledge 2
https://github.com/jupyterlab/jupyterlab
JupyterLab
alpha

26. Next
steps
• Join Jupyter in Education community
• Try no installation needed solutions
• Try tmpnb with a workshop
• Offer a course with JupyterHub
• Scale your curriculum to other courses

27. Resources
JupyterHub
Read The Docs
JupyterHub
for teaching
deployment
Zero to
JupyterHub
tmpnb
binder
Microsoft,
Continuum,
Sage Math Cloud
JupyterHub
tutorial

29. Thank you!

30. Questions?
• Steering Council, Project Jupyter
• Software Engineer, Cal Poly SLO
• Director, Python Software Foundation
• Geek in Residence, Fab Lab San Diego
Carol Willing
@willingcarol

31. • Kristen Thyng
• San Diego Python
• UC Berkeley Data Science
• Cal Poly SLO
• Tanya Schlusser
• Demba Ba
• Project Jupyter team and community
Attributions and recognition

32.
JupyterHub
Learning at Scale
Carol Willing, Cal Poly
Education Summit
May 18, 2017
PyCon 2017
@willingcarol