* Language of choice - The Notebook has support for over 40 programming languages, including those popular in Data Science such as Python, R, Julia and Scala. * Share notebooks - Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. * Interactive widgets - Code can produce rich output such as images, videos, LaTeX, and JavaScript. Interactive widgets can be used to manipulate and visualize data in realtime. * Big data integration - Leverage big data tools, such as Apache Spark, from Python, R and Scala. Explore that same data with pandas, scikit-learn, ggplot2, dplyr, etc.

* Host anywhere - Builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. * Great themes available - There's a stack of good looking themes included by default. Choose from bootstrap, readthedocs, or any of the 12 bootswatch themes. You can also check out a list of 3rd party themes in the MkDocs wiki, or better yet, add your own. * Preview your site as you work - The built-in devserver allows you to preview your documentation as you're writing it. It will even auto-reload whenever you save any changes, so all you need to do to see your latest edits is refresh your browser. * Easy to customize - Get your project documentation looking just the way you want it by customizing the theme.