Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

As a result, data analysis usually required a tedious back and forth between Python and other tools (such as the Java-based image-analysis package ImageJ) as researchers alternately manipulated ...