Data focused computing involves many stages: exploration, visualization, production mode computing, collaboration, debugging, development, presentation and publication. The IPython Notebook is a web based interactive computing environment that can carry the data scientist through all of these stages. The Notebook enables users to build documents that combine live, runnable code with text, LaTeX formulas, images and videos. These documents are version controllable/sharable and preserve a full record of a computation, its results and accompanying material. In this talk I will introduce the Notebook, show how to configure and run it, illustrate its main features and discuss its future.

This talk was presented at PyData NYC 2012: nyc2012.pydata.org/. If you are interested in this topic, be sure to check out PyData Silicon Valley in March of 2013: sv2013.pydata.org/

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