In this post “Interactive Data Analysis with SQL Server using Jupyter Notebooks“, we will demonstrate how we can use Jupyter Notebooks for interactive data analysis with SQL Server. Jupyter notebooks are one of the most useful tools for any Data Scientist/Data Analyst. It supports 40+ programming languages and facilitates web-based interactive programming IDE. We can put comments, headings, codes, and output in one single document. This document maintains the context to the original data source which means we can re-execute the code whenever we need it. This feature facilitates Data scientists/Data analysts to play with the code during the presentations. Also, these notebooks are very handy in sharing and can be shared easily across the teams.