Music and Jupyter

Talk at JupyterCon 2017 in NYC

Transcript

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 preview source
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
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