diff --git a/pandas/pandas.ipynb b/pandas/pandas.ipynb
index e3bee24..c39a9af 100644
--- a/pandas/pandas.ipynb
+++ b/pandas/pandas.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:0dc910ada47612859f282813d751ef152a62e4d6493b0027ad17a368b35379a0"
+  "signature": "sha256:207ce6e6163805a40ff6b55987e709194f2be605d9cc8f7276e2b6d50b096e89"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -17,7 +17,8 @@
       "* Series\n",
       "* DataFrame\n",
       "* Reindexing\n",
-      "* Dropping Entries"
+      "* Dropping Entries\n",
+      "* Indexing, Selecting, Filtering"
      ]
     },
     {
@@ -639,7 +640,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 3 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -651,9 +651,7 @@
         "1  5.1    VA  2013\n",
         "2  5.2    VA  2014\n",
         "3  4.0    MD  2014\n",
-        "4  4.1    MD  2015\n",
-        "\n",
-        "[5 rows x 3 columns]"
+        "4  4.1    MD  2015"
        ]
       }
      ],
@@ -721,7 +719,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 3 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -733,9 +730,7 @@
         "1  2013    VA  5.1\n",
         "2  2014    VA  5.2\n",
         "3  2014    MD  4.0\n",
-        "4  2015    MD  4.1\n",
-        "\n",
-        "[5 rows x 3 columns]"
+        "4  2015    MD  4.1"
        ]
       }
      ],
@@ -809,7 +804,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -821,9 +815,7 @@
         "1  2013    VA  5.1    NaN\n",
         "2  2014    VA  5.2    NaN\n",
         "3  2014    MD  4.0    NaN\n",
-        "4  2015    MD  4.1    NaN\n",
-        "\n",
-        "[5 rows x 4 columns]"
+        "4  2015    MD  4.1    NaN"
        ]
       }
      ],
@@ -992,7 +984,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1004,9 +995,7 @@
         "1  2013    VA  5.1       1\n",
         "2  2014    VA  5.2       2\n",
         "3  2014    MD  4.0       3\n",
-        "4  2015    MD  4.1       4\n",
-        "\n",
-        "[5 rows x 4 columns]"
+        "4  2015    MD  4.1       4"
        ]
       }
      ],
@@ -1081,7 +1070,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1093,9 +1081,7 @@
         "1  2013    VA  5.1     NaN\n",
         "2  2014    VA  5.2     6.0\n",
         "3  2014    MD  4.0     6.0\n",
-        "4  2015    MD  4.1     6.1\n",
-        "\n",
-        "[5 rows x 4 columns]"
+        "4  2015    MD  4.1     6.1"
        ]
       }
      ],
@@ -1175,7 +1161,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 5 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1187,9 +1172,7 @@
         "1  2013    VA  5.1     NaN        VA\n",
         "2  2014    VA  5.2     6.0        VA\n",
         "3  2014    MD  4.0     6.0        MD\n",
-        "4  2015    MD  4.1     6.1        MD\n",
-        "\n",
-        "[5 rows x 5 columns]"
+        "4  2015    MD  4.1     6.1        MD"
        ]
       }
      ],
@@ -1263,7 +1246,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1275,9 +1257,7 @@
         "1  2013    VA  5.1     NaN\n",
         "2  2014    VA  5.2     6.0\n",
         "3  2014    MD  4.0     6.0\n",
-        "4  2015    MD  4.1     6.1\n",
-        "\n",
-        "[5 rows x 4 columns]"
+        "4  2015    MD  4.1     6.1"
        ]
       }
      ],
@@ -1331,7 +1311,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>3 rows \u00d7 2 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1341,9 +1320,7 @@
         "       MD   VA\n",
         "2013  NaN  5.1\n",
         "2014  4.0  5.2\n",
-        "2015  4.1  NaN\n",
-        "\n",
-        "[3 rows x 2 columns]"
+        "2015  4.1  NaN"
        ]
       }
      ],
@@ -1392,7 +1369,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>2 rows \u00d7 3 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1401,9 +1377,7 @@
        "text": [
         "    2013  2014  2015\n",
         "MD   NaN   4.0   4.1\n",
-        "VA   5.1   5.2   NaN\n",
-        "\n",
-        "[2 rows x 3 columns]"
+        "VA   5.1   5.2   NaN"
        ]
       }
      ],
@@ -1452,7 +1426,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>2 rows \u00d7 2 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1461,9 +1434,7 @@
        "text": [
         "       MD   VA\n",
         "2014  NaN  5.2\n",
-        "2015  4.1  NaN\n",
-        "\n",
-        "[2 rows x 2 columns]"
+        "2015  4.1  NaN"
        ]
       }
      ],
@@ -1515,7 +1486,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>2 rows \u00d7 2 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1525,9 +1495,7 @@
         "       MD   VA\n",
         "year          \n",
         "2014  NaN  5.2\n",
-        "2015  4.1  NaN\n",
-        "\n",
-        "[2 rows x 2 columns]"
+        "2015  4.1  NaN"
        ]
       }
      ],
@@ -1579,7 +1547,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>2 rows \u00d7 2 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1589,9 +1556,7 @@
         "state   MD   VA\n",
         "year           \n",
         "2014   NaN  5.2\n",
-        "2015   4.1  NaN\n",
-        "\n",
-        "[2 rows x 2 columns]"
+        "2015   4.1  NaN"
        ]
       }
      ],
@@ -1730,7 +1695,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1742,9 +1706,7 @@
         "1  2013    VA  5.1     NaN\n",
         "2  2014    VA  5.2     6.0\n",
         "3  2014    MD  4.0     6.0\n",
-        "4  2015    MD  4.1     6.1\n",
-        "\n",
-        "[5 rows x 4 columns]"
+        "4  2015    MD  4.1     6.1"
        ]
       }
      ],
@@ -1824,7 +1786,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>6 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1837,9 +1798,7 @@
         "3  2014    MD  4.0     6.0\n",
         "2  2014    VA  5.2     6.0\n",
         "1  2013    VA  5.1     NaN\n",
-        "0  2012    VA  5.0     NaN\n",
-        "\n",
-        "[6 rows x 4 columns]"
+        "0  2012    VA  5.0     NaN"
        ]
       }
      ],
@@ -1865,14 +1824,18 @@
        "html": [
         "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
         "<table border=\"1\" class=\"dataframe\">\n",
-        "  <tbody>\n",
-        "    <tr>\n",
-        "      <td>Index([], dtype='object')</td>\n",
-        "      <td>Empty DataFrame</td>\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>year</th>\n",
+        "      <th>state</th>\n",
+        "      <th>pop</th>\n",
+        "      <th>unempl</th>\n",
         "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>0 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -1881,9 +1844,7 @@
        "text": [
         "Empty DataFrame\n",
         "Columns: [year, state, pop, unempl]\n",
-        "Index: []\n",
-        "\n",
-        "[0 rows x 4 columns]"
+        "Index: []"
        ]
       }
      ],
@@ -2024,7 +1985,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -2036,9 +1996,7 @@
         "1    VA  5.1     NaN  2013\n",
         "2    VA  5.2     6.0  2014\n",
         "3    MD  4.0     6.0  2014\n",
-        "4    MD  4.1     6.1  2015\n",
-        "\n",
-        "[5 rows x 4 columns]"
+        "4    MD  4.1     6.1  2015"
        ]
       }
      ],
@@ -2120,7 +2078,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>6 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -2133,9 +2090,7 @@
         "3    MD  4.0     6.0  2014\n",
         "2    VA  5.2     6.0  2014\n",
         "1    VA  5.1     NaN  2013\n",
-        "0    VA  5.0     NaN  2012\n",
-        "\n",
-        "[6 rows x 4 columns]"
+        "0    VA  5.0     NaN  2012"
        ]
       }
      ],
@@ -2223,7 +2178,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>7 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -2237,9 +2191,7 @@
         "3    MD  4.0     6.0  2014\n",
         "4    MD  4.1     6.1  2015\n",
         "5   NaN  NaN     NaN   NaN\n",
-        "6   NaN  NaN     NaN   NaN\n",
-        "\n",
-        "[7 rows x 4 columns]"
+        "6   NaN  NaN     NaN   NaN"
        ]
       }
      ],
@@ -2320,7 +2272,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 4 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -2332,9 +2283,7 @@
         "3    MD  4.0     6.0  2014\n",
         "4    MD  4.1     6.1  2015\n",
         "5   NaN  NaN     NaN   NaN\n",
-        "6   NaN  NaN     NaN   NaN\n",
-        "\n",
-        "[5 rows x 4 columns]"
+        "6   NaN  NaN     NaN   NaN"
        ]
       }
      ],
@@ -2402,7 +2351,6 @@
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
-        "<p>5 rows \u00d7 3 columns</p>\n",
         "</div>"
        ],
        "metadata": {},
@@ -2414,15 +2362,230 @@
         "3    MD  4.0  2014\n",
         "4    MD  4.1  2015\n",
         "5   NaN  NaN   NaN\n",
-        "6   NaN  NaN   NaN\n",
-        "\n",
-        "[5 rows x 3 columns]"
+        "6   NaN  NaN   NaN"
        ]
       }
      ],
      "prompt_number": 47
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "## Indexing, Selecting, Filtering"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Series indexing is similar to NumPy array indexing with the added bonus of being able to use the Series' index values."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ser_2"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 48,
+       "text": [
+        "a    1\n",
+        "b    1\n",
+        "c    2\n",
+        "d   -3\n",
+        "e   -5\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 48
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Select a value from a Series:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ser_2[0] == ser_2['a']"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 49,
+       "text": [
+        "True"
+       ]
+      }
+     ],
+     "prompt_number": 49
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Select a slice from a Series:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ser_2[1:4]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 50,
+       "text": [
+        "b    1\n",
+        "c    2\n",
+        "d   -3\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 50
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Select specific values from a Series:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ser_2[['b', 'c', 'd']]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 51,
+       "text": [
+        "b    1\n",
+        "c    2\n",
+        "d   -3\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 51
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Select from a Series based on a filter:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ser_2[ser_2 > 0]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 52,
+       "text": [
+        "a    1\n",
+        "b    1\n",
+        "c    2\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 52
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Select a slice from a Series with labels (note the end point is inclusive):"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ser_2['a':'b']"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 53,
+       "text": [
+        "a    1\n",
+        "b    1\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 53
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Assign to a Series slice (note the end point is inclusive):"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ser_2['a':'b'] = 0\n",
+      "ser_2"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 54,
+       "text": [
+        "a    0\n",
+        "b    0\n",
+        "c    2\n",
+        "d   -3\n",
+        "e   -5\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 54
     }
-   ],
    "metadata": {}
   }
  ]