IPython notebook (aka Jupyter) is a well known, Python-based system for working with and collaborating on data science. But sometimes you don’t want to have people work on a data-science project, so much as be able to review certain aspects of that data. In other words, you want to create a small application that lets people review and play with limited aspects of the data. As Andrew Campbell explains in this talk, it’s now possible to create and use widgets from IPython, to create useful and interesting applications — streamlining and speeding up the process even more than before.
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