JupyterCon 2017 talk on August 24, 2017

1.
Music and Jupyter
A combo for creating collaborative
narratives for teaching
Carol Willing
Project Jupyter
Cal Poly SLO
August 24, 2017
JupyterCon 2017
@carolwilling

2. Headline Slide
Sub-headline
Hello

3. Headline Slide
Sub-headline
Hi

4. Carol Willing
Project Jupyter
Steering Council and Developer
Cal Poly SLO
Software Engineer
Python Software Foundation
Recent Director
CPython
Core Developer
Fab Lab San Diego
Geek in Residence
@willingcarol

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

6. Why music?

7. Real world interest matters.

8. Jupyter notebooks engage learners

9. Engaging students and musicians
PyCon 2014

10. Universal
Cross-cultural understanding

11. Creative

12. Lifelong
learning

13. Access and
opportunities

14. ...see mistakes
...as interesting
opportunities
to learn
Photo taken by Matthew Bowers
Benjamin Zander

15.
Tools
Jupyter Notebook and JupyterLab
markdown
language kernels (Python, R, Julia)
ipywidgets
nbconvert
RISE, nbpresent
Sphinx
JupyterHub and Binder

16.
Content
music21 - Michael Cuthbert
magenta - tensorflow music generation
Allen Downey’s Think DSP notebooks
Extempore - live coding of music
Visualizing music - AnnMarie Thomas

17. Jupyter
Notebook
A Jupyter Notebook document with a visualization of measles data.

18. Jupyter
Notebook
Interactive
Browser-based computing environment
Exploratory
Science, machine learning, visualization, analysis,
stats
Reproducible document format
Code
Narrative text (markdown)
Equations (LaTeX)
Images, visualizations
Over 50 programming languages
Everything open-source (BSD license)

19.
Prose
Code
Visualizations
Video and animations
Widgets
Audio
Jupyter ingredients

20. Prose
#, ##, ### Headings
*music* music
**corpus** corpus
`print(chord)` chord
Shift-Enter Execute cell

21. Live preview in JupyterLab
previewsource

22. Code
• JupyterLab (attach a console for exploration)
• List and install requirements
• Drop into file system
• Export as script

23. Run code in the notebook
Shift-Enter to execute a code cell.
Shift-Command-Enter to enter single document mode. Similar to classic notebook.

24. Visualizations
music21 - sheet music

25. Visualizations
music21 interact with MuseScore

26. Visualizations
music21 translate to braille

27. Video and
Animation

28. ipywidgets
Docs
https://ipywidgets.readthedocs.io
cookiecutter to simplify
creating new widgets
Interactive
Documentation
Engaging User Content
Rapid“what if”
scenarios
http://jupyter.org/widgets.html
Widgets

29. Audio
magenta.tensorflow.org

30. Audio
https://github.com/tensorflow/magenta-demos/tree/master/jupyter-notebooks

31. Audio
https://magenta.tensorflow.org/performance-rnn
Ian Simon and Sageev Oore. "Performance RNN:
Generating Music with Expressive
Timing and Dynamics." Magenta Blog, 2017.
https://magenta.tensorflow.org/performance-
rnn

32. Audio
https://magenta.tensorflow.org/nsynth-instrument

33. Everyday
Sounds
https://experiments.withgoogle.com/ai/drum-machine
https://github.com/googlecreativelab/aiexperiments-drum-machine

34. Nature’s
music
https://experiments.withgoogle.com/ai/bird-sounds

35. https://experiments.withgoogle.com/ai/drum-machine
https://experiments.withgoogle.com/ai/bird-sounds

36. 36

37. How?
Start with content (videos, code, notebooks)
Gather into a repo
Create and iterate on notebooks
Use Binder to share
Run a workshop or lesson (RISE, nbpresent)
Publish (Sphinx supports markdown, reStructuredText, notebooks)
Create a website

38. Live code
on
Binder
https://beta.mybinder.org/v2/gh/minrk/ligo-binder/master?filepath=index.ipynb
https://losc.ligo.org/tutorials/

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

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

41. What can
you do
with
Jupyter?
Extend Remix
Apply
Collaborate
?
?

42. Creating gateways to learning
PyLadies
DjangoGirls
Workshops
Conferences
User groups
Sprints
pyvideo.org
Documentation
Credit: http://bostonpythonworkshop.com/

43. You create the future
Credit: http://pythonineducation.org/

44. Sub-headline
Thank you

45. • Demba Ba
• Jeremy Freeman, Binder
• Michael Cuthbert, music21
• Allen Downey, Think DSP
• AnnMarie Thomas, Visualizing Music
Attributions and recognition
A huge thank you to the Project Jupyter team and community.
Your hard work and passion makes this all possible.
• Tanya Schuller
• Magenta team
• FabLab San Diego
• Photo credits on individual slides
• Content credit on slides

46.
Music and Jupyter
A combo for creating collaborative
narratives for teaching
Carol Willing
Project Jupyter
Cal Poly SLO
August 24, 2017
JupyterCon 2017
@carolwilling