Updated Preface with the new text in README.md
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Introductory textbook for Kalman filters and Bayesian filters. All code is written in Python, and the book itself is written in Ipython Notebook so that you can run and modify the code in the book in place, seeing the results inside the book. What better way to learn?
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Reading Online
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The github pages for this project are at https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python You can clone it to your hard drive with the command
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git clone https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python.git
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git clone http://rlabbe.github.io/Kalman-and-Bayesian-Filters-in-Python/
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This will create a directory named Kalman-and-Bayesian-Filters-in-Python. Navigate to the directory, and run IPython notebook with the command
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