Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...
Picture a CFO scanning a cash-flow model where one interest rate cell sits off by a single percentage point. The spreadsheet ...
Abstract: With the recent proliferation of open-source packages for computing, power system differential-algebraic equation (DAE) modeling and simulation are being revisited to reduce the programming ...
If you have tried accessing your router settings and typed 192.1y8.1.1, you are not alone. This is one of the most common ...
Abstract: The Numeric Python EM project started out as a conversion of ToyFDTD to Numeric Python (a fast vector oriented module for the Python programming language). Surprisingly, the simulation ran ...
Editor's take: A coach under pressure turned to a publicly available chatbot to search for fresh perspectives when conventional analysis and scouting reports failed to produce wins. It's an unusual ...
In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...
The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 projects. Mastering a mix of data, AI, and web-focused libraries ensures adaptability across multiple ...
Coding languages are a foundational element of any tech job, but not all are made equal. Python and SQL are among the most popular languages; C++ and Tableau are more specialized. Business Insider ...
One of the long-standing bottlenecks for researchers and data scientists is the inherent limitation of the tools they use for numerical computation. NumPy, the go-to library for numerical operations ...