diff --git a/Lec 26 - JSON with Python.ipynb b/Lec 26 - JSON with Python.ipynb
index db7dd5a..034830d 100644
--- a/Lec 26 - JSON with Python.ipynb	
+++ b/Lec 26 - JSON with Python.ipynb	
@@ -1,185 +1,369 @@
-{

- "metadata": {

-  "name": "",

-  "signature": "sha256:6d2393f4566d57db7cfe7c666bb925c7e798d6bdea3c6ac40223d0d0c327a3b8"

- },

- "nbformat": 3,

- "nbformat_minor": 0,

- "worksheets": [

-  {

-   "cells": [

-    {

-     "cell_type": "code",

-     "collapsed": false,

-     "input": [

-      "import numpy as np\n",

-      "from pandas import Series, DataFrame\n",

-      "import pandas as pd"

-     ],

-     "language": "python",

-     "metadata": {},

-     "outputs": [],

-     "prompt_number": 1

-    },

-    {

-     "cell_type": "code",

-     "collapsed": false,

-     "input": [

-      "# Heres an example of what a JSON (JavaScript Object Notation) looks like:\n",

-      "json_obj = \"\"\"\n",

-      "{   \"zoo_animal\": \"Lion\",\n",

-      "    \"food\": [\"Meat\", \"Veggies\", \"Honey\"],\n",

-      "    \"fur\": \"Golden\",\n",

-      "    \"clothes\": null, \n",

-      "    \"diet\": [{\"zoo_animal\": \"Gazelle\", \"food\":\"grass\", \"fur\": \"Brown\"}]\n",

-      "}\n",

-      "\"\"\""

-     ],

-     "language": "python",

-     "metadata": {},

-     "outputs": [],

-     "prompt_number": 3

-    },

-    {

-     "cell_type": "code",

-     "collapsed": false,

-     "input": [

-      "#Let import json module\n",

-      "import json\n",

-      "\n",

-      "#Lets load json data\n",

-      "data = json.loads(json_obj)"

-     ],

-     "language": "python",

-     "metadata": {},

-     "outputs": [],

-     "prompt_number": 4

-    },

-    {

-     "cell_type": "code",

-     "collapsed": false,

-     "input": [

-      "#Show\n",

-      "data"

-     ],

-     "language": "python",

-     "metadata": {},

-     "outputs": [

-      {

-       "metadata": {},

-       "output_type": "pyout",

-       "prompt_number": 5,

-       "text": [

-        "{u'clothes': None,\n",

-        " u'diet': [{u'food': u'grass', u'fur': u'Brown', u'zoo_animal': u'Gazelle'}],\n",

-        " u'food': [u'Meat', u'Veggies', u'Honey'],\n",

-        " u'fur': u'Golden',\n",

-        " u'zoo_animal': u'Lion'}"

-       ]

-      }

-     ],

-     "prompt_number": 5

-    },

-    {

-     "cell_type": "code",

-     "collapsed": false,

-     "input": [

-      "#WE can also convert back to JSON\n",

-      "json.dumps(data)"

-     ],

-     "language": "python",

-     "metadata": {},

-     "outputs": [

-      {

-       "metadata": {},

-       "output_type": "pyout",

-       "prompt_number": 6,

-       "text": [

-        "'{\"food\": [\"Meat\", \"Veggies\", \"Honey\"], \"zoo_animal\": \"Lion\", \"fur\": \"Golden\", \"diet\": [{\"food\": \"grass\", \"zoo_animal\": \"Gazelle\", \"fur\": \"Brown\"}], \"clothes\": null}'"

-       ]

-      }

-     ],

-     "prompt_number": 6

-    },

-    {

-     "cell_type": "code",

-     "collapsed": false,

-     "input": [

-      "#We can simply open JSON data after loading with a DataFrame\n",

-      "dframe = DataFrame(data['diet'])"

-     ],

-     "language": "python",

-     "metadata": {},

-     "outputs": [],

-     "prompt_number": 7

-    },

-    {

-     "cell_type": "code",

-     "collapsed": false,

-     "input": [

-      "#Show\n",

-      "dframe"

-     ],

-     "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>food</th>\n",

-        "      <th>fur</th>\n",

-        "      <th>zoo_animal</th>\n",

-        "    </tr>\n",

-        "  </thead>\n",

-        "  <tbody>\n",

-        "    <tr>\n",

-        "      <th>0</th>\n",

-        "      <td> grass</td>\n",

-        "      <td> Brown</td>\n",

-        "      <td> Gazelle</td>\n",

-        "    </tr>\n",

-        "  </tbody>\n",

-        "</table>\n",

-        "</div>"

-       ],

-       "metadata": {},

-       "output_type": "pyout",

-       "prompt_number": 8,

-       "text": [

-        "    food    fur zoo_animal\n",

-        "0  grass  Brown    Gazelle"

-       ]

-      }

-     ],

-     "prompt_number": 8

-    },

-    {

-     "cell_type": "code",

-     "collapsed": false,

-     "input": [

-      "# Theres lost of custom selection you can do, based on what you do or dont want in your DataFrame (you can specify columns..etc)\n"

-     ],

-     "language": "python",

-     "metadata": {},

-     "outputs": [],

-     "prompt_number": 9

-    },

-    {

-     "cell_type": "code",

-     "collapsed": false,

-     "input": [

-      "#Next up, XML and HTML file format with python!"

-     ],

-     "language": "python",

-     "metadata": {},

-     "outputs": []

-    }

-   ],

-   "metadata": {}

-  }

- ]

-}
\ No newline at end of file
+{
+
+ "metadata": {
+
+  "name": "",
+
+  "signature": "sha256:6d2393f4566d57db7cfe7c666bb925c7e798d6bdea3c6ac40223d0d0c327a3b8"
+
+ },
+
+ "nbformat": 3,
+
+ "nbformat_minor": 0,
+
+ "worksheets": [
+
+  {
+
+   "cells": [
+
+    {
+
+     "cell_type": "code",
+
+     "collapsed": false,
+
+     "input": [
+
+      "import numpy as np\n",
+
+      "from pandas import Series, DataFrame\n",
+
+      "import pandas as pd"
+
+     ],
+
+     "language": "python",
+
+     "metadata": {},
+
+     "outputs": [],
+
+     "prompt_number": 1
+
+    },
+
+    {
+
+     "cell_type": "code",
+
+     "collapsed": false,
+
+     "input": [
+
+      "# Heres an example of what a JSON (JavaScript Object Notation) looks like:\n",
+
+      "json_obj = \"\"\"\n",
+
+      "{   \"zoo_animal\": \"Lion\",\n",
+
+      "    \"food\": [\"Meat\", \"Veggies\", \"Honey\"],\n",
+
+      "    \"fur\": \"Golden\",\n",
+
+      "    \"clothes\": null, \n",
+
+      "    \"diet\": [{\"zoo_animal\": \"Gazelle\", \"food\":\"grass\", \"fur\": \"Brown\"}]\n",
+
+      "}\n",
+
+      "\"\"\""
+
+     ],
+
+     "language": "python",
+
+     "metadata": {},
+
+     "outputs": [],
+
+     "prompt_number": 3
+
+    },
+
+    {
+
+     "cell_type": "code",
+
+     "collapsed": false,
+
+     "input": [
+
+      "#Let import json module\n",
+
+      "import json\n",
+
+      "\n",
+
+      "#Lets load json data\n",
+
+      "data = json.loads(json_obj)"
+
+     ],
+
+     "language": "python",
+
+     "metadata": {},
+
+     "outputs": [],
+
+     "prompt_number": 4
+
+    },
+
+    {
+
+     "cell_type": "code",
+
+     "collapsed": false,
+
+     "input": [
+
+      "#Show\n",
+
+      "data"
+
+     ],
+
+     "language": "python",
+
+     "metadata": {},
+
+     "outputs": [
+
+      {
+
+       "metadata": {},
+
+       "output_type": "pyout",
+
+       "prompt_number": 5,
+
+       "text": [
+
+        "{u'clothes': None,\n",
+
+        " u'diet': [{u'food': u'grass', u'fur': u'Brown', u'zoo_animal': u'Gazelle'}],\n",
+
+        " u'food': [u'Meat', u'Veggies', u'Honey'],\n",
+
+        " u'fur': u'Golden',\n",
+
+        " u'zoo_animal': u'Lion'}"
+
+       ]
+
+      }
+
+     ],
+
+     "prompt_number": 5
+
+    },
+
+    {
+
+     "cell_type": "code",
+
+     "collapsed": false,
+
+     "input": [
+
+      "#We can also convert back to JSON\n",
+
+      "json.dumps(data)"
+
+     ],
+
+     "language": "python",
+
+     "metadata": {},
+
+     "outputs": [
+
+      {
+
+       "metadata": {},
+
+       "output_type": "pyout",
+
+       "prompt_number": 6,
+
+       "text": [
+
+        "'{\"food\": [\"Meat\", \"Veggies\", \"Honey\"], \"zoo_animal\": \"Lion\", \"fur\": \"Golden\", \"diet\": [{\"food\": \"grass\", \"zoo_animal\": \"Gazelle\", \"fur\": \"Brown\"}], \"clothes\": null}'"
+
+       ]
+
+      }
+
+     ],
+
+     "prompt_number": 6
+
+    },
+
+    {
+
+     "cell_type": "code",
+
+     "collapsed": false,
+
+     "input": [
+
+      "#We can simply open JSON data after loading with a DataFrame\n",
+
+      "dframe = DataFrame(data['diet'])"
+
+     ],
+
+     "language": "python",
+
+     "metadata": {},
+
+     "outputs": [],
+
+     "prompt_number": 7
+
+    },
+
+    {
+
+     "cell_type": "code",
+
+     "collapsed": false,
+
+     "input": [
+
+      "#Show\n",
+
+      "dframe"
+
+     ],
+
+     "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>food</th>\n",
+
+        "      <th>fur</th>\n",
+
+        "      <th>zoo_animal</th>\n",
+
+        "    </tr>\n",
+
+        "  </thead>\n",
+
+        "  <tbody>\n",
+
+        "    <tr>\n",
+
+        "      <th>0</th>\n",
+
+        "      <td> grass</td>\n",
+
+        "      <td> Brown</td>\n",
+
+        "      <td> Gazelle</td>\n",
+
+        "    </tr>\n",
+
+        "  </tbody>\n",
+
+        "</table>\n",
+
+        "</div>"
+
+       ],
+
+       "metadata": {},
+
+       "output_type": "pyout",
+
+       "prompt_number": 8,
+
+       "text": [
+
+        "    food    fur zoo_animal\n",
+
+        "0  grass  Brown    Gazelle"
+
+       ]
+
+      }
+
+     ],
+
+     "prompt_number": 8
+
+    },
+
+    {
+
+     "cell_type": "code",
+
+     "collapsed": false,
+
+     "input": [
+
+      "#You can do custom selections based on what you want in your DataFrame e.g. specify columns."
+
+     ],
+
+     "language": "python",
+
+     "metadata": {},
+
+     "outputs": [],
+
+     "prompt_number": 9
+
+    },
+
+    {
+
+     "cell_type": "code",
+
+     "collapsed": false,
+
+     "input": [
+
+      "#Next up, XML and HTML file format with python!"
+
+     ],
+
+     "language": "python",
+
+     "metadata": {},
+
+     "outputs": []
+
+    }
+
+   ],
+
+   "metadata": {}
+
+  }
+
+ ]
+
+}