Whoops ordering problem

Author: craigsdennis

Introduction to NumPy.ipynb

@@ -487,7 +487,7 @@
    "source": [
     "## Common Routines\n",
     "* Common [mathematical](https://docs.scipy.org/doc/numpy-1.14.0/reference/routines.math.html) [routines](https://docs.scipy.org/doc/numpy-1.14.0/reference/routines.html) are exposed so the formula can be abstracted away.\n",
-    "    * [`mean`](https://docs.scipy.org/doc/numpy-1.14.0/reference/generated/numpy.mean.html#numpy.mean) is a routine [statistics](https://docs.scipy.org/doc/numpy-1.14.0/reference/routines.statistics.html) used to calculate the average.\n",
+    "    * [`mean`](https://docs.scipy.org/doc/numpy-1.14.0/reference/generated/numpy.mean.html#numpy.mean) is a [statistics](https://docs.scipy.org/doc/numpy-1.14.0/reference/routines.statistics.html) routine used to calculate the average.\n",
     "* Reduction functions take a dimension and collapse it into a single value.\n",
     "    * These functions define an axis parameter, and you should remember that the function works across the dimension.\n",
     " "
@@ -500,6 +500,13 @@
    "outputs": [],
    "source": []
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+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": 86,