Python has solidified itself as a powerhouse in Data Science and Machine Learning thanks to its best-in-class libraries as well as being at the forefront of Interactive Computing with its native support in Jupyter Notebooks - a popular realization of Donald Knuth’s Literate Programming paradigm where executable code is interlaced in a live document with natural language documentation, rich markup and embedded media. It’s become an invaluable medium for data science, scientists and researchers where it’s often used as an advanced REPL environment for data and computation exploration whose resulting knowledge and insights are easily captured and shared.

We’re excited to be able to join the beautiful interactive world of Jupyter Notebooks with both Simple UI and command-line tools for effortlessly generating customized Notebooks around typed ServiceStack APIs for Jupyter’s premier support for Python.