created appendix a

Appendix_A_Installation/Appendix_Installation.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:aaedbb5dd7c16f3a7777036a6bb62b1f9c7641915224d83029f51ffbefc1d48e"
+  "signature": "sha256:3bb351943b52e55a96cd9d97199451f321cc663d0d6c7ad251edb04a4df0fbbf"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -24,6 +24,8 @@
       "%matplotlib inline\n",
       "from __future__ import division, print_function\n",
       "import matplotlib.pyplot as plt\n",
+      "import sys\n",
+      "sys.path.insert(0,'../') # allow us to format the book\n",
       "import book_format\n",
       "book_format.load_style()"
      ],
@@ -250,15 +252,14 @@
        "output_type": "pyout",
        "prompt_number": 1,
        "text": [
-        "<IPython.core.display.HTML at 0x7f5a64035860>"
+        "<IPython.core.display.HTML at 0x7f5e0d759a20>"
        ]
       }
      ],
      "prompt_number": 1
     },
     {
-     "cell_type": "heading",
-     "level": 2,
+     "cell_type": "markdown",
      "metadata": {},
      "source": [
       "This book is written in IPython Notebook, a browser based interactive Python environment that mixes Python, text, and math. I choose it because of the interactive features - I found Kalman filtering nearly impossible to learn until I started working in an interactive environment. It is difficult to form an intuition of the effect of many of the parameters that you can tune until you can change them rapidly and immediately see the output. An interactive environment also allows you to play 'what if' scenarios out. \"What if I set $\\mathbf{Q}$ to zero?\" It is trivial to find out with Ipython Notebook.\n",