diff --git a/pandas/pandas.ipynb b/pandas/pandas.ipynb
index d0d722d..7dcd716 100644
--- a/pandas/pandas.ipynb
+++ b/pandas/pandas.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:4c3e3bc5e2e66a53e95dce82d5f14b65d389cff01d434f1cf65ee91981716551"
+  "signature": "sha256:1d166238da27d666eaee4041e79ad7adcc22b6b5ef5d6098ce354d0160c79ba5"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -3651,7 +3651,8 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "df_8.add(df_9, fill_value=0)"
+      "df_10 = df_8.add(df_9, fill_value=0)\n",
+      "df_10"
      ],
      "language": "python",
      "metadata": {},
@@ -3707,6 +3708,326 @@
       }
      ],
      "prompt_number": 71
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Like NumPy, pandas supports arithmetic operations between DataFrames and Series.\n",
+      "\n",
+      "Match the index of the Series on the DataFrame's columns, broadcasting down the rows:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ser_8 = df_10.ix[0]\n",
+      "df_11 = df_10 - ser_8\n",
+      "df_11"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>a</th>\n",
+        "      <th>b</th>\n",
+        "      <th>c</th>\n",
+        "      <th>d</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</th>\n",
+        "      <td> 0.000000</td>\n",
+        "      <td> 0.000000</td>\n",
+        "      <td> 0.000000</td>\n",
+        "      <td> 0.000000</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>1</th>\n",
+        "      <td>-0.003930</td>\n",
+        "      <td>-0.406224</td>\n",
+        "      <td>-0.530438</td>\n",
+        "      <td> 0.092224</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2</th>\n",
+        "      <td>-0.111226</td>\n",
+        "      <td>-0.054178</td>\n",
+        "      <td>-0.013864</td>\n",
+        "      <td> 0.396653</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 72,
+       "text": [
+        "          a         b         c         d\n",
+        "0  0.000000  0.000000  0.000000  0.000000\n",
+        "1 -0.003930 -0.406224 -0.530438  0.092224\n",
+        "2 -0.111226 -0.054178 -0.013864  0.396653"
+       ]
+      }
+     ],
+     "prompt_number": 72
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ser_9 = Series(range(3), index=['a', 'd', 'e'])\n",
+      "ser_9"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 73,
+       "text": [
+        "a    0\n",
+        "d    1\n",
+        "e    2\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 73
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Match the index of the Series on the DataFrame's columns, broadcasting down the rows and union the indices that do not match:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "df_11 - ser_9"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>a</th>\n",
+        "      <th>b</th>\n",
+        "      <th>c</th>\n",
+        "      <th>d</th>\n",
+        "      <th>e</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</th>\n",
+        "      <td> 0.000000</td>\n",
+        "      <td>NaN</td>\n",
+        "      <td>NaN</td>\n",
+        "      <td>-1.000000</td>\n",
+        "      <td>NaN</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>1</th>\n",
+        "      <td>-0.003930</td>\n",
+        "      <td>NaN</td>\n",
+        "      <td>NaN</td>\n",
+        "      <td>-0.907776</td>\n",
+        "      <td>NaN</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2</th>\n",
+        "      <td>-0.111226</td>\n",
+        "      <td>NaN</td>\n",
+        "      <td>NaN</td>\n",
+        "      <td>-0.603347</td>\n",
+        "      <td>NaN</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 74,
+       "text": [
+        "          a   b   c         d   e\n",
+        "0  0.000000 NaN NaN -1.000000 NaN\n",
+        "1 -0.003930 NaN NaN -0.907776 NaN\n",
+        "2 -0.111226 NaN NaN -0.603347 NaN"
+       ]
+      }
+     ],
+     "prompt_number": 74
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "df_10"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>a</th>\n",
+        "      <th>b</th>\n",
+        "      <th>c</th>\n",
+        "      <th>d</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</th>\n",
+        "      <td> 0.548814</td>\n",
+        "      <td> 1.132211</td>\n",
+        "      <td> 1.323088</td>\n",
+        "      <td> 0.000114</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>1</th>\n",
+        "      <td> 0.544883</td>\n",
+        "      <td> 0.725987</td>\n",
+        "      <td> 0.792650</td>\n",
+        "      <td> 0.092339</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2</th>\n",
+        "      <td> 0.437587</td>\n",
+        "      <td> 1.078033</td>\n",
+        "      <td> 1.309223</td>\n",
+        "      <td> 0.396767</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 75,
+       "text": [
+        "          a         b         c         d\n",
+        "0  0.548814  1.132211  1.323088  0.000114\n",
+        "1  0.544883  0.725987  0.792650  0.092339\n",
+        "2  0.437587  1.078033  1.309223  0.396767"
+       ]
+      }
+     ],
+     "prompt_number": 75
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ser_10 = Series([100, 200, 300])\n",
+      "print ser_10"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "0    100\n",
+        "1    200\n",
+        "2    300\n",
+        "dtype: int64\n"
+       ]
+      }
+     ],
+     "prompt_number": 76
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Broadcast over the columns and match the rows (axis=0) by using an arithmetic method:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "df_10.sub(ser_10, axis=0)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>a</th>\n",
+        "      <th>b</th>\n",
+        "      <th>c</th>\n",
+        "      <th>d</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</th>\n",
+        "      <td> -99.451186</td>\n",
+        "      <td> -98.867789</td>\n",
+        "      <td> -98.676912</td>\n",
+        "      <td> -99.999886</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>1</th>\n",
+        "      <td>-199.455117</td>\n",
+        "      <td>-199.274013</td>\n",
+        "      <td>-199.207350</td>\n",
+        "      <td>-199.907661</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2</th>\n",
+        "      <td>-299.562413</td>\n",
+        "      <td>-298.921967</td>\n",
+        "      <td>-298.690777</td>\n",
+        "      <td>-299.603233</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 77,
+       "text": [
+        "            a           b           c           d\n",
+        "0  -99.451186  -98.867789  -98.676912  -99.999886\n",
+        "1 -199.455117 -199.274013 -199.207350 -199.907661\n",
+        "2 -299.562413 -298.921967 -298.690777 -299.603233"
+       ]
+      }
+     ],
+     "prompt_number": 77
     }
    ],
    "metadata": {}