daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Fixed text about using gitter, and improved instructions for reading online.
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Roger Labbe 2015-07-03 10:31:32 -07:00
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@ -5,11 +5,14 @@ Introductory textbook for Kalman and Bayesian filters. All code is written in Py
Reading Online
-----
The book is written as a collection of IPython Notebooks, an interactive, browser based system that allows you to combine text, Python, and math into your browser.
[![Join the chat at https://gitter.im/rlabbe/Kalman-and-Bayesian-Filters-in-Python](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/rlabbe/Kalman-and-Bayesian-Filters-in-Python?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
Github is now able to render the notebooks directly. The quickest way to view a notebook is to just click on them above. Chapters names are prefaced with numbers to indicate their order 01_gh_filter.ipynb, and so on. J
Github is able to render the notebooks directly. The quickest way to view a notebook is to just click on them above. Chapters names are prefaced with numbers to indicate their order 01_gh_filter.ipynb, and so on. Rendering may be a bit slow or imperfect.
The website http://nbviewer.org provides an IPython Notebook server that renders notebooks stored at github (or elsewhere). The rendering is done in real time when you load the book. You may use [*this nbviewer link*](http://nbviewer.ipython.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/table_of_contents.ipynb) to access my book via nbviewer. If you read my book today, and then I make a change tomorrow, when you go back tomorrow you will see that change.
If you have comments, you can write an issue so that everyone can read it along with my response. Please don't view it as a way to report bugs only. Alternatively I've created a gitter room for more informal discussion. [![Join the chat at https://gitter.im/rlabbe/Kalman-and-Bayesian-Filters-in-Python](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/rlabbe/Kalman-and-Bayesian-Filters-in-Python?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
The book is written as a collection of IPython Notebooks, an interactive, browser based system that allows you to combine text, Python, and math into your browser. The website http://nbviewer.org provides an IPython Notebook server that renders notebooks stored at github (or elsewhere). The rendering is done in real time when you load the book. You may use [*this nbviewer link*](http://nbviewer.ipython.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/table_of_contents.ipynb) to access my book via nbviewer. If you read my book today, and then I make a change tomorrow, when you go back tomorrow you will see that change.
The preface available from the link above has all the information in this README and more, so feel free to follow the link now.