What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...

This repository contains a collection of Jupyter Notebooks exploring spatial mathematics and related applications. The notebooks are easily extensible to encourage experimentation. Spatial mathematics ...

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...