Every Data Scientist spends most of his time in data visualization, preprocessing and model tuning based on the results. These are the toughest situations for every Data Scientist because you will get a good model when you perform all these three steps precisely. There are 10 very helpful jupyter notebook extensions to help in these circumstances. Qgrid is a Jupyter notebook widget which uses SlickGrid to render pandas DataFrames within a Jupyter notebook. This allows you to explore your DataFrames with intuitive scrolling, sorting and filtering controls, as well as edit your DataFrames by double-clicking cells. ITables turns pandas DataFrames and Series into interactive data tables in both your notebooks and their HTML representation.