fixed headers
This commit is contained in:
Roger Labbe
parent
95a6084dbb
commit
e843a99d73
@ -1,7 +1,7 @@
|
||||
{
|
||||
"metadata": {
|
||||
"name": "",
|
||||
"signature": "sha256:c5b1c14b6465c7fd31733c161e89f858eceb398b72e205651c87fb91b2c1aeb5"
|
||||
"signature": "sha256:e0afb8841928609600ae275b6099f404c614a06bcac3f465d667634dfb4204ba"
|
||||
},
|
||||
"nbformat": 3,
|
||||
"nbformat_minor": 0,
|
||||
@ -256,7 +256,7 @@
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 1,
|
||||
"text": [
|
||||
"<IPython.core.display.HTML at 0x7fd6160a3828>"
|
||||
"<IPython.core.display.HTML at 0x7f6373354978>"
|
||||
]
|
||||
}
|
||||
],
|
||||
@ -272,20 +272,16 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [],
|
||||
"language": "python",
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"outputs": []
|
||||
"source": [
|
||||
"## Reading Online"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Reading Online\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"You may access this book via nbviewer at any time by using this address:\n",
|
||||
"[*Read Online Now*](http://nbviewer.ipython.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/table_of_contents.ipynb)\n",
|
||||
"\n",
|
||||
@ -293,16 +289,36 @@
|
||||
"\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."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## PDF Version"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"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.\n",
|
||||
"\n",
|
||||
"### PDF Version\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.\n",
|
||||
"\n",
|
||||
"[*PDF Version of the book*](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/Kalman_and_Bayesian_Filters_in_Python.pdf)\n",
|
||||
"\n",
|
||||
"###Downloading the book\n",
|
||||
"\n",
|
||||
"[*PDF Version of the book*](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/Kalman_and_Bayesian_Filters_in_Python.pdf)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"##Downloading the book"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"However, this book is intended to be interactive and I recommend using it in that form. If you install IPython on your computer and then clone this book you will be able to run all of the code in the book yourself. You can perform experiments, see how filters react to different data, see how different filters react to the same data, and so on. I find this sort of immediate feedback both vital and invigorating. You do not have to wonder \"what happens if\". Try it and see!\n",
|
||||
"\n",
|
||||
"The github pages for this project are at\n",
|
||||
@ -326,8 +342,13 @@
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Version 0.0\n",
|
||||
"\n",
|
||||
"## Version 0.0"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Not ready for public consumption. In development.\n",
|
||||
"\n",
|
||||
"> author's note: The chapter on g-h filters is fairly complete as far as planned content goes. The content for the discrete Bayesian chapter, chapter 2, is also fairly complete. After that I have questions in my mind as to the best way to present the statistics needed to understand the filters. I try to avoid the 'dump a semester of math into 4 pages' approach of most textbooks, but then again perhaps I put things off a bit too long. In any case, the subsequent chapters are due a strong editing cycle where I decide how to best develop these concepts. Otherwise I am pretty happy with the content for the one dimensional and multidimensional Kalman filter chapters. I know the code works, I am using it in real world projects at work, but there are areas where the content about the covariance matrices is pretty bad. The implementation is fine, the description is poor. Sorry. It will be corrected. \n",
|
||||
@ -338,11 +359,10 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
"level": 2,
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Motivation"
|
||||
"##Motivation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -369,11 +389,10 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
"level": 2,
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Installation and Software Requirements"
|
||||
"##Installation and Software Requirements"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -398,11 +417,10 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
"level": 2,
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Provided Libraries"
|
||||
"##Provided Libraries"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -433,11 +451,10 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
"level": 2,
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Thoughts on Python and Coding Math"
|
||||
"##Thoughts on Python and Coding Math"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -494,11 +511,10 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
"level": 2,
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"License"
|
||||
"##License"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -511,11 +527,10 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
"level": 2,
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Contact"
|
||||
"## Contact"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -526,11 +541,10 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
"level": 2,
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Resources"
|
||||
"##Resources"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
Loading…
Reference in New Issue
Block a user