diff --git a/Appendix_A_Installation/Appendix_Installation.ipynb b/Appendix_Installation.ipynb similarity index 99% rename from Appendix_A_Installation/Appendix_Installation.ipynb rename to Appendix_Installation.ipynb index 1a79bf7..99d664c 100644 --- a/Appendix_A_Installation/Appendix_Installation.ipynb +++ b/Appendix_Installation.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:1fb959fd02dabdaeb6a9cb01639ad09df217d9b45cc7ce9a1f51d00310274c26" + "signature": "sha256:57dbf656364273c92d44507fa244b442d18883c499a9648624b3a44b5047cdd4" }, "nbformat": 3, "nbformat_minor": 0, @@ -32,7 +32,7 @@ "from __future__ import division, print_function\n", "import matplotlib.pyplot as plt\n", "import sys\n", - "sys.path.insert(0,'../code') # allow us to format the book\n", + "sys.path.insert(0,'./code') # allow us to format the book\n", "import book_format\n", "book_format.load_style()" ], @@ -261,7 +261,7 @@ "output_type": "pyout", "prompt_number": 1, "text": [ - "" + "" ] } ], @@ -442,13 +442,13 @@ ], "metadata": {}, "output_type": "pyout", - "prompt_number": 2, + "prompt_number": 3, "text": [ "\\phi" ] } ], - "prompt_number": 2 + "prompt_number": 3 }, { "cell_type": "markdown", @@ -472,7 +472,7 @@ ], "metadata": {}, "output_type": "pyout", - "prompt_number": 3, + "prompt_number": 4, "text": [ " 1 \n", "\u2500\u2500\u2500\u2500\u2500\u2500\u2500\n", @@ -481,7 +481,7 @@ ] } ], - "prompt_number": 3 + "prompt_number": 4 }, { "cell_type": "markdown", @@ -505,14 +505,14 @@ ], "metadata": {}, "output_type": "pyout", - "prompt_number": 4, + "prompt_number": 5, "text": [ " \u239b 2 \u239e\n", "(\\phi - 1)\u22c5\u239d\\phi + 1\u23a0" ] } ], - "prompt_number": 4 + "prompt_number": 5 }, { "cell_type": "markdown", @@ -536,14 +536,14 @@ ], "metadata": {}, "output_type": "pyout", - "prompt_number": 5, + "prompt_number": 6, "text": [ " 2 \n", "\\phi - 3\u22c5\\phi - 4" ] } ], - "prompt_number": 5 + "prompt_number": 6 }, { "cell_type": "markdown", @@ -568,13 +568,13 @@ ], "metadata": {}, "output_type": "pyout", - "prompt_number": 6, + "prompt_number": 7, "text": [ "8" ] } ], - "prompt_number": 6 + "prompt_number": 7 }, { "cell_type": "markdown", @@ -599,13 +599,13 @@ ], "metadata": {}, "output_type": "pyout", - "prompt_number": 7, + "prompt_number": 8, "text": [ "2\u22c5t + 2" ] } ], - "prompt_number": 7 + "prompt_number": 8 }, { "cell_type": "markdown", @@ -638,7 +638,7 @@ ], "metadata": {}, "output_type": "pyout", - "prompt_number": 8, + "prompt_number": 9, "text": [ "\u23a1 x z \u23a4\n", "\u23a2\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 0 \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u23a5\n", @@ -648,7 +648,7 @@ ] } ], - "prompt_number": 8 + "prompt_number": 9 }, { "cell_type": "markdown", @@ -688,7 +688,7 @@ ], "metadata": {}, "output_type": "pyout", - "prompt_number": 9, + "prompt_number": 10, "text": [ "\u23a1 5 4 3\u23a4\n", "\u23a2\\Delta{t} \\Delta{t} \\Delta{t} \u23a5\n", @@ -707,7 +707,7 @@ ] } ], - "prompt_number": 9 + "prompt_number": 10 } ], "metadata": {}