You work for weeks, maybe months, on a new analysis: collecting data, cleaning it, extracting your features and modeling it, and you finally come up with some meaningful results... What happens next? How many people dig into and explore your work and your results?

Bokeh is a data visualization library that gives you the power of custom interactive visualizations that you can publish on the web, but lets you build them in python.

Staying in the language of your analysis, means that you can move seamlessly into presentation. In this talk I will:

• discuss how visualizations can be a tool to present your analysis in a way that is understandable to non-specialists without dumbing down your content
• show how to build-up your data story with Bokeh including: an overview of Bokeh; how to get started with it; how to share your work; and,
• showcase building up a sophisticated interactive graphic using Bokeh

I have marked this talk as Novice, but it will have a mix of content. If you're comfortable in Python then I aim to leave you with some immediately useful skills to start presenting your data to a wider audience. If you're just getting started I hope this talk will give you tools to start thinking about how to communicate your work successfully as you move into data science.