Description
This talk will demonstrate the use of IPython notebook widgets for the monitoring of long-running processes such as parameter search in machine learning and model-based computational science. This use of the IPython notebook widget technology allows the introspection of experiments in an interactive manner from within a familiar platform thereby allowing a rapid iteration of scientific code.