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Monday, June 27 • 2:30pm - 4:00pm
Using R with Jupyter notebooks for reproducible research (Part 2)

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This tutorial introduces the Jupyter notebook project (previously called IPython notebooks). The tutorial will describe how Jupyter can be used for:

  • interactive coding and mark-up sandbox, sharing test code, notes (as markdown and comments) and results with colleagues, publishing snippets and useful findings
  • literate programming with interactivity, similar to like SWeave and knitr, but with added interactivity
  • Multi-language interoperability, e.g. notebooks that include R as well as Python code.
  • developing training, using Jupyter notebooks locally or in the cloud
  • delivery of training with persistent content, using a multi-tenant Jupyter notebook system
For details, refer to tutorial description.

Speakers
MH

Micheleen Harris

Microsoft Corporation
avatar for Andrie De Vries

Andrie De Vries

Programme Manager, Microsoft
I am a Programme Manager with Microsoft Data Science, based in London. During the last year, I've worked on Microsoft's community projects, including Microsoft R Open and MRAN. I am the maintainer for several packages that help reproducible research, specifically checkpoint and miniCRAN. I am co-author of R for Dummies.


Monday June 27, 2016 2:30pm - 4:00pm
SIEPR 120 366 Galvez St, Stanford, CA 94305

Attendees (32)