daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Quentin Pradet 2015-04-05 00:44:00 +02:00
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00_Preface.ipynb
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@ -325,9 +325,7 @@
"\n",
"The quickest way to get starting with reading the book is to read it online using the link above. 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. If you read my book today, and then I make a change tomorrow, when you go back tomorrow you will see that change. Perhaps more importantly, the book uses animations to demonstrate how the algorithms perform over time. The PDF version of the book, discussed in the next paragraph, cannot show the animations. \n",
"\n",
"The preface available from the link above has all the information in this README and more, so feel free to follow the link now.\n",
"\n",
"I periodically generate a PDF of the book from the Notebooks. I do not do this for every check in, so the PDF will usually lag the content in github and on nbviewer.org. However, I do generate it whenever I make a substantial change. Of course, you will not be able to run and modify the code in the notebooks, nor will you be able to see the animations."
"The preface available from the link above has all the information in this README and more, so feel free to follow the link now.\n"
]
},
{