daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Lots of changes to preface.

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Too big a check in; got away from me. I rewrote a lot of the preface.
Added instructions for cloud.sagemath install. Removed import of
set_figsize and figsize in first cell because the first cell gets
deleted for the pdf.
This commit is contained in:
Roger Labbe
2015-07-15 18:17:48 -07:00
parent 0906db75e3
commit 7827a4df2d
19 changed files with 703 additions and 632 deletions
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11
README.md
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@@ -11,7 +11,13 @@ Github is able to render the notebooks directly. The quickest way to view a note
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 Preface contains instructions on how to host the book online, for free, on a cloud server (cloud.sagemath.com) that allows you to run and alter the code insde the Notebooks. It takes 5 minutes to set up.
Issues or Questsions
------
If you have comments, you can write an issue at GitHub 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 preface available from the link above has all the information in this README and more, so feel free to follow the link now.
@@ -56,7 +62,8 @@ All of the filters used in this book as well as others not in this book are impl
In Development
--------------
This book is still very much in development. The earlier chapters have settled down a lot, but I am still adding examples to the UKF chapter, and the EKF chapter is largely unwritten. Early chapters are now pretty solid up to, say, the Kalman Filter Math chapter.
This book is still very much in development.
Motivation
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