Computable content, first described by Lorena Barba at a 2015 lecture at the UC Berkeley Institute for Data Science, leverages Jupyter notebooks to make learning materials more powerful by integrating compute engines, data sources, etc. O’Reilly Media extended this approach to create the new Oriole Online Tutorial medium, publishing notebooks from authors along with video timelines. (A free public tutorial, Regex Golf, by Peter Norvig demonstrates what’s possible with this technology integration.) Each user session launches a Docker container on a Mesos cluster for fully personalized compute environments. The UX is entirely browser based. It is also instrumented for data collection and analytics for use as an assessment platform.
Paco Nathan explores the system architecture, shares project experiences, and considers the impact of notebooks for sharing and learning across a data-centric organization—How do notebooks help teams share and learn? What impact might notebooks have on developer collaboration that is currently focused on IDEs?
Paco Nathan is known as a “player/coach” with core expertise in data science, natural language processing, machine learning, and cloud computing. He has 35+ years of experience in the tech industry, at companies ranging from Bell Labs to early-stage startups. His recent roles include director of the Learning Group at O’Reilly Media and director of community evangelism at Databricks and Apache Spark. Paco is the cochair of JupyterCon and an advisor for Amplify Partners, Deep Learning Analytics, and Recognai. He was named one of the top 30 people in big data and analytics in 2015 by Innovation Enterprise.
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