Adds ufunc and broadcasting reflection

Author: craigsdennis

Introduction to NumPy.ipynb

@@ -1555,6 +1555,17 @@
     "orders.dot(prices)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Universal Functions\n",
+    "* [ufuncs](https://docs.scipy.org/doc/numpy/reference/ufuncs.html) are commonly needed vectorized functions\n",
+    "  * Vectorized functions allow you to operate element by element without using a loop\n",
+    "* The standard math and comparison operations have all been overloaded so that they can make use of vectorization\n",
+    "* Values can be [broadcasted](https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html), or stretched to be applied to the ufuncs."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 74,
@@ -1813,20 +1824,6 @@
    "outputs": [],
    "source": []
   },
-  {
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-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,