First public version. Includes new features like parsing from a string, and converting to strings of format 'c', 'g', and 'G'. This project welcomes contributions and suggestions. Most contributions ...

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 ...