These are chat archives for rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.
pip install filterpyinstead; that should work. Recently I tried to get filterpy working with conda;
conda install filterpymight work for windows, but I have reports it doesn't work for mac and linux yet. I need to put more effort on this.