initial commit: basics of python, numpy, segmentation

notebooks/numpy_basics.ipynb

+{
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+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "NumPy, SciPy, and Matplotlib"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Distance Metrics"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from scipy.spatial import distance\n",
+      "print distance.euclidean([0, 0], [3, 4])\n",
+      "print distance.sqeuclidean([0, 0], [3, 4])\n",
+      "print distance.cityblock([0, 0], [3, 4])\n",
+      "print distance.chebyshev([0, 0], [3, 4])\n",
+      "print distance.cosine([1, 0], [0, 99])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "5.0\n",
+        "25\n",
+        "7\n",
+        "4\n",
+        "1.0\n"
+       ]
+      }
+     ],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Sorting"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "NumPy arrays have a method, `sort`, which sorts the array *in-place*."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "x = randn(5)\n",
+      "print x\n",
+      "x.sort()\n",
+      "print x"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "[ 1.28550722 -1.14034515  0.06384698 -0.97859418  1.43006581]\n",
+        "[-1.14034515 -0.97859418  0.06384698  1.28550722  1.43006581]\n"
+       ]
+      }
+     ],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "`numpy.argsort` returns an array of indices, `ind`, such that `x[ind]` is a sorted version of `x`."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "x = randn(5)\n",
+      "print x\n",
+      "ind = argsort(x)\n",
+      "print ind\n",
+      "print x[ind]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "[-1.17264838  0.01291842 -0.10398369 -0.25878579 -0.50355634]\n",
+        "[0 4 3 2 1]\n",
+        "[-1.17264838 -0.50355634 -0.25878579 -0.10398369  0.01291842]\n"
+       ]
+      }
+     ],
+     "prompt_number": 4
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file

notebooks/python_basics.ipynb

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+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Python Basics"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file