On Demand Analytic and Learning Environments with Jupyter – Kyle Kelley and Andrew Odewahn ODSC Boston 2015
ConferencesPythonTools & LanguagesODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015 Open Data Science
The Jupyter/IPython project has been building systems to enable collections of users to work on a shared system within their team, lab, and on a wide web audience. There is the multi user server JupyterHub, the temporary notebook system (tmpnb), blossoming Google Drive integration (jupyter-drive), notebook spawning in docker, and
many implementations of authentication. O’Reilly Media is experimenting with interactive authored content,
backed by Jupyter kernels. All around, the open source ecosystem supporting the IPython/Jupyter analytic environments is flourishing and we’d love to share how they’re built, how to contribute, and where things are headed. There will be a Q&A at the end to ask the burning questions you haven’t been able to ask before.
Andrew Odewahn is the CTO of O’Reilly Media, where he helps define and create new products, services, and business models that will help O’Reilly continue to make the transition to an increasingly digital future. The author of two books on database development, he has experience as a software developer and consultant in a number of industries, including manufacturing, pharmaceuticals, and publishing. Andrew has an MBA from New York University and a degree in Computer Science from the University of Alabama. He’s also thru-hiked the Appalachian Trail from Georgia to Maine.
Kyle Kelley is a software developer at Rackspace and a core developer of the IPython/Jupyter project. He wants to help build great environments for collaborative analysis, development, and production workloads for everyone; from small teams to massive scale.