Computing in the Stream: Schedule Compactification

When we learn about computational mathematics, software engineering, or data science in general, one of the most important questions we have to answer is how many operations are required. The answer isn’t to show the prowess of our algorithm, but rather identify how quickly the algorithm can perform. We need to know if the answer…

Developing a Cross-Product Analytic: Kidd Score

In a recent podcast by Sixers Science, an analytic called the Kidd Score was unveiled. The goal of the analytic is to identify players who are great at two ancillary tasks: assists and rebounds. These two components are part of the big three statistical categories that make up the traditional triple double: points, rebounds, assists.…