To be effective technologists, we often have to tell stories and share information; either showing our technical peers techniques and approaches, or distilling information into a non-technical form for other decision-makers. Python provides a rich set of tools not just for building software, but for analysis and visualization of data. IPython Notebook gives a framework to explore, then repeatably combine explanatory text, diagrams, command line invocations, and code into a single (revision-control capable) document which can be shared as PDF, HTML, Reveal.js presentation, a blog post, or an interactive notebook file. This talk will provide a basic introduction to working with IPython Notebook, then show several examples of effective use to meet these needs.