Guillem Duran - Interactive data Kung Fu with Shaolin “Notebooks come alive when interactive widgets are used”, but programming complex applications that rely entirely on widgets may end up being a painful and frustrating process. Shaolin is a new python project that aims to provide a framework for building interactive complex dashboards. ----- You can read in The Project Jupyter web page that “Notebooks come alive when interactive widgets are used”, but programming complex applications that rely entirely on widgets may end up being a painful and frustrating process. Shaolin is a new python project that aims to provide a framework for building interactive complex dashboards. Shaolin provides all the basic tools for building complex interactive data analysis applications using the pydata ecosystem. Arbitrary code can be embedded into a Dashboard -a class that works as a “black box” that allows to easily define a GUI based on the ipywidgets package- to process any data in any form and then let you interactively define how to plot it using automatically generated widgets. Hierarchical combinations of Dashboards can be arranged then to build more complex applications. The talk is divided in two sections. First one introduce the framework and its main features: - Custom syntax for defining widgets in a simplified way. - Dashboards: Syntax rules and capabilities. - Combining Dashboards to build complex applications. - Interactive plot creation. - Integration with pydata. Second section will show how this framework can be used to analyse real data using Dashboards without writing any code. I will show how to transform market data time series into graphs using pandas and networkx, then plot it interactively using bokeh and Vpython.