Music engages and delights. Carol Willing explains how to explore and teach the basics of interactive computing and data science by combining music with the Jupyter Notebook, using music21, a tool for computer-aided musicology, and Magenta, a TensorFlow project for making music with machine learning, to create collaborative narratives and publishing materials for teaching and learning.
Carol demonstrates how the combination of narrative, code, video, audio, and interactive widgets brings documentation and learning to life. Starting with a text document in a notebook, Carol walks you through incrementally adding functionality to create an interactive and collaborative document that would be equally suitable as project documentation, a brief paper for independent study, or a classroom activity.
Carol Willing is a research software engineer at Cal Poly San Luis Obispo working full-time on Project Jupyter, a Python Software Foundation fellow and former director, a Jupyter Steering Council member, a geek in residence at FabLab San Diego, where she teaches wearable electronics and software development, and an independent developer of open hardware and software. She co-organizes PyLadies San Diego and San Diego Python, contributes to open source community projects, including OpenHatch, CPython, Jupyter, and AnitaB.org’s open source projects, and is an active member of the MIT Enterprise Forum in San Diego. She enjoys sharing her passion for electronics, software, problem solving, and the arts. Previously, Carol worked in software engineering management, product and project management, sales, and the nonprofit sector. She holds an MS in management with an emphasis on applied economics and high-tech marketing from MIT and a BSE in electrical engineering from Duke University.
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