Fixed some links

solutions/finite_mc_solutions.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:9a0824c217de54db9f6af23ea73eaf4d84cfa2448f0d7e256ee2aef21c44597e"
+  "signature": "sha256:70ca5cdfae3d13c48bfb29960b054b9373d57fdc9c0d0a60e17a2ce443d48eb2"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -270,7 +270,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "Link to tauchen.py"
+      "A solution from the [quantecon library](https://github.com/jstac/quant-econ/tree/master/quantecon)  can be found [here](https://github.com/jstac/quant-econ/blob/master/quantecon/tauchen.py)\n"
      ]
     },
     {

solutions/numpy_solutions.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:756f5dccb668e43cc34856f64e572ccbf7a31bc957aaeb6b36af2b7b0fa6c6f4"
+  "signature": "sha256:f26f6f1bffa0eb41e944b1967fa2a32221481f27f0744e44baebe59b8b416b70"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -171,7 +171,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 6
+     "prompt_number": 5
     },
     {
      "cell_type": "markdown",
@@ -195,7 +195,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 7
+     "prompt_number": 6
     },
     {
      "cell_type": "markdown",
@@ -209,15 +209,7 @@
       "\n",
       "A better option is to use descriptors\n",
       "\n",
-      "Here's a solution using descriptors that behaves as we desire\n"
-     ]
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "Add a link to discrete_rv in either Sphinx documentation or on GitHub after reorganization"
+      "A solution from the [quantecon library](https://github.com/jstac/quant-econ/tree/master/quantecon) using descriptors that behaves as we desire can be found [here](https://github.com/jstac/quant-econ/blob/master/quantecon/discrete_rv.py)\n"
      ]
     },
     {
@@ -229,19 +221,35 @@
      ]
     },
     {
-     "cell_type": "heading",
-     "level": 3,
+     "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "Add a link to ecdf as above after reorganization"
+      "A solution from the [quantecon library](https://github.com/jstac/quant-econ/tree/master/quantecon)  can be found [here](https://github.com/jstac/quant-econ/blob/master/quantecon/ecdf.py)\n",
+      "\n",
+      "Here's an example of usage"
      ]
     },
     {
-     "cell_type": "markdown",
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from ecdf import ecdf\n",
+      "F = ecdf(np.random.randn(1000))\n",
+      "F.plot()"
+     ],
+     "language": "python",
      "metadata": {},
-     "source": [
-      "Add an example of usage with a plot too"
-     ]
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAEACAYAAACuzv3DAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x2af7dd0>"
+       ]
+      }
+     ],
+     "prompt_number": 7
     },
     {
      "cell_type": "code",

solutions/schelling_solutions.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:65a4a5f64a0da814a8e3190c2ecb5b2bfe2ab10884e2b894adafbf242260f5b6"
+  "signature": "sha256:9a36ea19470e49a542a48339e056db4fb3c2ce0d3f301ff2eab8dddb31ac2604"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -35,7 +35,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "To be added --- link to schelling.py"
+      "A solution from the [quantecon library](https://github.com/jstac/quant-econ/tree/master/quantecon)  can be found [here](https://github.com/jstac/quant-econ/blob/master/quantecon/schelling.py)\n"
      ]
     },
     {