diff --git a/Lab1-babypython.ipynb b/Lab1-babypython.ipynb
index bb4814d..9d5920d 100644
--- a/Lab1-babypython.ipynb
+++ b/Lab1-babypython.ipynb
@@ -12,9 +12,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# The %... is an iPython thing, and is not part of the Python language.\n",
@@ -50,24 +48,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "3"
+       "7"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "1+2"
+    "1+2+4"
    ]
   },
   {
@@ -80,9 +76,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -109,9 +103,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -147,9 +139,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -169,9 +159,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -192,9 +180,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -227,9 +213,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -258,9 +242,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -287,9 +269,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -310,9 +290,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -329,9 +307,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -358,9 +334,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -378,9 +352,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -407,9 +379,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -440,9 +410,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -476,9 +444,7 @@
   {
    "cell_type": "code",
    "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -548,9 +514,7 @@
   {
    "cell_type": "code",
    "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -607,9 +571,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -626,9 +588,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -655,9 +615,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -689,9 +647,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -716,9 +672,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -746,9 +700,7 @@
   {
    "cell_type": "code",
    "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -775,9 +727,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import json"
@@ -786,9 +736,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -806,9 +754,7 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -837,9 +783,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -857,9 +801,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "ename": "TypeError",
@@ -880,9 +822,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -913,9 +853,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -945,9 +883,7 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -971,9 +907,7 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -997,9 +931,7 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1036,9 +968,7 @@
   {
    "cell_type": "code",
    "execution_count": 50,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1069,9 +999,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "#your code here"
@@ -1089,9 +1017,7 @@
   {
    "cell_type": "code",
    "execution_count": 32,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1112,9 +1038,7 @@
   {
    "cell_type": "code",
    "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1141,9 +1065,7 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1167,9 +1089,7 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1204,9 +1124,7 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1239,9 +1157,7 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1278,9 +1194,7 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1310,9 +1224,7 @@
   {
    "cell_type": "code",
    "execution_count": 39,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1340,9 +1252,7 @@
   {
    "cell_type": "code",
    "execution_count": 52,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "uniquelctokens=set(hamletlctokens)"
@@ -1351,9 +1261,7 @@
   {
    "cell_type": "code",
    "execution_count": 41,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "tokendict={}\n",
@@ -1371,9 +1279,7 @@
   {
    "cell_type": "code",
    "execution_count": 42,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1500,9 +1406,7 @@
   {
    "cell_type": "code",
    "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1533,23 +1437,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Lab1-pythonpandas.ipynb b/Lab1-pythonpandas.ipynb
index 4d48574..5b2be62 100644
--- a/Lab1-pythonpandas.ipynb
+++ b/Lab1-pythonpandas.ipynb
@@ -9,10 +9,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# The %... is an iPython thing, and is not part of the Python language.\n",
@@ -82,15 +80,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -115,7 +124,7 @@
        "      <td>0439023483</td>\n",
        "      <td>good_reads:book</td>\n",
        "      <td>https://www.goodreads.com/author/show/153394.S...</td>\n",
-       "      <td>2008</td>\n",
+       "      <td>2008.0</td>\n",
        "      <td>/genres/young-adult|/genres/science-fiction|/g...</td>\n",
        "      <td>dir01/2767052-the-hunger-games.html</td>\n",
        "      <td>2958974</td>\n",
@@ -128,7 +137,7 @@
        "      <td>0439358078</td>\n",
        "      <td>good_reads:book</td>\n",
        "      <td>https://www.goodreads.com/author/show/1077326....</td>\n",
-       "      <td>2003</td>\n",
+       "      <td>2003.0</td>\n",
        "      <td>/genres/fantasy|/genres/young-adult|/genres/fi...</td>\n",
        "      <td>dir01/2.Harry_Potter_and_the_Order_of_the_Phoe...</td>\n",
        "      <td>1284478</td>\n",
@@ -141,7 +150,7 @@
        "      <td>0316015849</td>\n",
        "      <td>good_reads:book</td>\n",
        "      <td>https://www.goodreads.com/author/show/941441.S...</td>\n",
-       "      <td>2005</td>\n",
+       "      <td>2005.0</td>\n",
        "      <td>/genres/young-adult|/genres/fantasy|/genres/ro...</td>\n",
        "      <td>dir01/41865.Twilight.html</td>\n",
        "      <td>2579564</td>\n",
@@ -154,7 +163,7 @@
        "      <td>0061120081</td>\n",
        "      <td>good_reads:book</td>\n",
        "      <td>https://www.goodreads.com/author/show/1825.Har...</td>\n",
-       "      <td>1960</td>\n",
+       "      <td>1960.0</td>\n",
        "      <td>/genres/classics|/genres/fiction|/genres/histo...</td>\n",
        "      <td>dir01/2657.To_Kill_a_Mockingbird.html</td>\n",
        "      <td>2078123</td>\n",
@@ -167,7 +176,7 @@
        "      <td>0679783261</td>\n",
        "      <td>good_reads:book</td>\n",
        "      <td>https://www.goodreads.com/author/show/1265.Jan...</td>\n",
-       "      <td>1813</td>\n",
+       "      <td>1813.0</td>\n",
        "      <td>/genres/classics|/genres/fiction|/genres/roman...</td>\n",
        "      <td>dir01/1885.Pride_and_Prejudice.html</td>\n",
        "      <td>1388992</td>\n",
@@ -178,15 +187,15 @@
        "</div>"
       ],
       "text/plain": [
-       "   rating review_count        isbn         booktype                                         author_url  year                                         genre_urls                                                dir rating_count                                               name\n",
-       "0    4.40       136455  0439023483  good_reads:book  https://www.goodreads.com/author/show/153394.S...  2008  /genres/young-adult|/genres/science-fiction|/g...                dir01/2767052-the-hunger-games.html      2958974            The Hunger Games (The Hunger Games, #1)\n",
-       "1    4.41        16648  0439358078  good_reads:book  https://www.goodreads.com/author/show/1077326....  2003  /genres/fantasy|/genres/young-adult|/genres/fi...  dir01/2.Harry_Potter_and_the_Order_of_the_Phoe...      1284478  Harry Potter and the Order of the Phoenix (Har...\n",
-       "2    3.56        85746  0316015849  good_reads:book  https://www.goodreads.com/author/show/941441.S...  2005  /genres/young-adult|/genres/fantasy|/genres/ro...                          dir01/41865.Twilight.html      2579564                            Twilight (Twilight, #1)\n",
-       "3    4.23        47906  0061120081  good_reads:book  https://www.goodreads.com/author/show/1825.Har...  1960  /genres/classics|/genres/fiction|/genres/histo...              dir01/2657.To_Kill_a_Mockingbird.html      2078123                              To Kill a Mockingbird\n",
-       "4    4.23        34772  0679783261  good_reads:book  https://www.goodreads.com/author/show/1265.Jan...  1813  /genres/classics|/genres/fiction|/genres/roman...                dir01/1885.Pride_and_Prejudice.html      1388992                                Pride and Prejudice"
+       "   rating review_count        isbn         booktype                                         author_url    year                                         genre_urls                                                dir rating_count                                               name\n",
+       "0    4.40       136455  0439023483  good_reads:book  https://www.goodreads.com/author/show/153394.S...  2008.0  /genres/young-adult|/genres/science-fiction|/g...                dir01/2767052-the-hunger-games.html      2958974            The Hunger Games (The Hunger Games, #1)\n",
+       "1    4.41        16648  0439358078  good_reads:book  https://www.goodreads.com/author/show/1077326....  2003.0  /genres/fantasy|/genres/young-adult|/genres/fi...  dir01/2.Harry_Potter_and_the_Order_of_the_Phoe...      1284478  Harry Potter and the Order of the Phoenix (Har...\n",
+       "2    3.56        85746  0316015849  good_reads:book  https://www.goodreads.com/author/show/941441.S...  2005.0  /genres/young-adult|/genres/fantasy|/genres/ro...                          dir01/41865.Twilight.html      2579564                            Twilight (Twilight, #1)\n",
+       "3    4.23        47906  0061120081  good_reads:book  https://www.goodreads.com/author/show/1825.Har...  1960.0  /genres/classics|/genres/fiction|/genres/histo...              dir01/2657.To_Kill_a_Mockingbird.html      2078123                              To Kill a Mockingbird\n",
+       "4    4.23        34772  0679783261  good_reads:book  https://www.goodreads.com/author/show/1265.Jan...  1813.0  /genres/classics|/genres/fiction|/genres/roman...                dir01/1885.Pride_and_Prejudice.html      1388992                                Pride and Prejudice"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -213,9 +222,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 6,
    "metadata": {
-    "collapsed": false
+    "scrolled": true
    },
    "outputs": [
     {
@@ -234,7 +243,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -252,10 +261,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -263,7 +270,7 @@
        "(6000, 10)"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -281,10 +288,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -292,7 +297,7 @@
        "(6000, 10)"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -310,18 +315,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Index([u'rating', u'review_count', u'isbn', u'booktype', u'author_url', u'year', u'genre_urls', u'dir', u'rating_count', u'name'], dtype='object')"
+       "Index(['rating', 'review_count', 'isbn', 'booktype', 'author_url', 'year', 'genre_urls', 'dir', 'rating_count', 'name'], dtype='object')"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -339,10 +342,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -350,7 +351,7 @@
        "(pandas.core.series.Series, pandas.core.frame.DataFrame)"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -370,10 +371,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -439,10 +438,10 @@
        "5997    False\n",
        "5998    False\n",
        "5999    False\n",
-       "Name: rating, dtype: bool"
+       "Name: rating, Length: 6000, dtype: bool"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -451,6 +450,118 @@
     "df.rating < 3"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rating</th>\n",
+       "      <th>review_count</th>\n",
+       "      <th>isbn</th>\n",
+       "      <th>booktype</th>\n",
+       "      <th>author_url</th>\n",
+       "      <th>year</th>\n",
+       "      <th>genre_urls</th>\n",
+       "      <th>dir</th>\n",
+       "      <th>rating_count</th>\n",
+       "      <th>name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2609</th>\n",
+       "      <td>2.90</td>\n",
+       "      <td>8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>good_reads:book</td>\n",
+       "      <td>https://www.goodreads.com/author/show/7707820....</td>\n",
+       "      <td>2013.0</td>\n",
+       "      <td>/genres/romance|/genres/realistic-fiction|/gen...</td>\n",
+       "      <td>dir27/19546932-how-to-be-a-perfect-girl.html</td>\n",
+       "      <td>31</td>\n",
+       "      <td>How To Be A Perfect Girl</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3738</th>\n",
+       "      <td>2.00</td>\n",
+       "      <td>368</td>\n",
+       "      <td>0983650322</td>\n",
+       "      <td>good_reads:book</td>\n",
+       "      <td>https://www.goodreads.com/author/show/9414.Vic...</td>\n",
+       "      <td>2011.0</td>\n",
+       "      <td>/genres/young-adult|/genres/science-fiction|/g...</td>\n",
+       "      <td>dir38/12393909-revealing-eden.html</td>\n",
+       "      <td>688</td>\n",
+       "      <td>Revealing Eden (Save the Pearls, #1)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5844</th>\n",
+       "      <td>2.97</td>\n",
+       "      <td>1399</td>\n",
+       "      <td>0395083621</td>\n",
+       "      <td>good_reads:book</td>\n",
+       "      <td>https://www.goodreads.com/author/show/30691.Ad...</td>\n",
+       "      <td>1925.0</td>\n",
+       "      <td>/genres/history|/genres/non-fiction|/genres/bi...</td>\n",
+       "      <td>dir59/54270.Mein_Kampf.html</td>\n",
+       "      <td>12417</td>\n",
+       "      <td>Mein Kampf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5979</th>\n",
+       "      <td>2.77</td>\n",
+       "      <td>800</td>\n",
+       "      <td>0060988649</td>\n",
+       "      <td>good_reads:book</td>\n",
+       "      <td>https://www.goodreads.com/author/show/7025.Gre...</td>\n",
+       "      <td>2001.0</td>\n",
+       "      <td>/genres/fantasy|/genres/fiction|/genres/myster...</td>\n",
+       "      <td>dir60/24929.Lost.html</td>\n",
+       "      <td>11128</td>\n",
+       "      <td>Lost</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      rating review_count        isbn         booktype                                         author_url    year                                         genre_urls                                           dir rating_count                                  name\n",
+       "2609    2.90            8         NaN  good_reads:book  https://www.goodreads.com/author/show/7707820....  2013.0  /genres/romance|/genres/realistic-fiction|/gen...  dir27/19546932-how-to-be-a-perfect-girl.html           31              How To Be A Perfect Girl\n",
+       "3738    2.00          368  0983650322  good_reads:book  https://www.goodreads.com/author/show/9414.Vic...  2011.0  /genres/young-adult|/genres/science-fiction|/g...            dir38/12393909-revealing-eden.html          688  Revealing Eden (Save the Pearls, #1)\n",
+       "5844    2.97         1399  0395083621  good_reads:book  https://www.goodreads.com/author/show/30691.Ad...  1925.0  /genres/history|/genres/non-fiction|/genres/bi...                   dir59/54270.Mein_Kampf.html        12417                            Mein Kampf\n",
+       "5979    2.77          800  0060988649  good_reads:book  https://www.goodreads.com/author/show/7025.Gre...  2001.0  /genres/fantasy|/genres/fiction|/genres/myster...                         dir60/24929.Lost.html        11128                                  Lost"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[df.rating < 3]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -460,10 +571,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -471,7 +580,7 @@
        "4"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -489,10 +598,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 17,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -503,7 +610,7 @@
     }
    ],
    "source": [
-    "print 1*True, 1*False"
+    "print(1*True, 1*False)"
    ]
   },
   {
@@ -515,18 +622,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 18,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0"
+       "0.0006666666666666666"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -544,18 +649,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 19,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.00066666666666666664"
+       "0.0006666666666666666"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -573,18 +676,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 20,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.00066666666666666664"
+       "0.0006666666666666666"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -603,9 +704,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -634,9 +733,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1543,9 +1640,7 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1926,9 +2021,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2083,9 +2176,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2122,9 +2213,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "ename": "ValueError",
@@ -2162,9 +2251,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2312,9 +2399,7 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2355,9 +2440,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2403,9 +2486,7 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2432,9 +2513,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -2479,9 +2558,7 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2518,9 +2595,7 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2548,9 +2623,7 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2616,9 +2689,7 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2646,9 +2717,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2668,9 +2737,7 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -2694,9 +2761,7 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2716,9 +2781,7 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -2747,9 +2810,7 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2769,9 +2830,7 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2791,9 +2850,7 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2813,9 +2870,7 @@
   {
    "cell_type": "code",
    "execution_count": 39,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2842,9 +2897,7 @@
   {
    "cell_type": "code",
    "execution_count": 40,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2878,9 +2931,7 @@
   {
    "cell_type": "code",
    "execution_count": 41,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -2902,9 +2953,7 @@
   {
    "cell_type": "code",
    "execution_count": 42,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2924,23 +2973,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Lab1-pythonpandas_original.ipynb b/Lab1-pythonpandas_original.ipynb
index 4d48574..04af1c1 100644
--- a/Lab1-pythonpandas_original.ipynb
+++ b/Lab1-pythonpandas_original.ipynb
@@ -10,9 +10,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# The %... is an iPython thing, and is not part of the Python language.\n",
@@ -83,9 +81,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -214,9 +210,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -253,9 +247,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -282,9 +274,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -311,9 +301,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -340,9 +328,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -371,9 +357,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -461,9 +445,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -490,9 +472,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -516,9 +496,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -545,9 +523,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -574,9 +550,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -603,9 +577,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -634,9 +606,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1543,9 +1513,7 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1926,9 +1894,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2083,9 +2049,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2122,9 +2086,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "ename": "ValueError",
@@ -2162,9 +2124,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2312,9 +2272,7 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2355,9 +2313,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2403,9 +2359,7 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2432,9 +2386,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -2479,9 +2431,7 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2518,9 +2468,7 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2548,9 +2496,7 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2616,9 +2562,7 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2646,9 +2590,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2668,9 +2610,7 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -2694,9 +2634,7 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2716,9 +2654,7 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -2747,9 +2683,7 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2769,9 +2703,7 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2791,9 +2723,7 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2813,9 +2743,7 @@
   {
    "cell_type": "code",
    "execution_count": 39,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2842,9 +2770,7 @@
   {
    "cell_type": "code",
    "execution_count": 40,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2878,9 +2804,7 @@
   {
    "cell_type": "code",
    "execution_count": 41,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -2902,9 +2826,7 @@
   {
    "cell_type": "code",
    "execution_count": 42,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2924,23 +2846,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Monty Hall Simulation.ipynb b/Monty Hall Simulation.ipynb
new file mode 100644
index 0000000..28035d7
--- /dev/null
+++ b/Monty Hall Simulation.ipynb	
@@ -0,0 +1,241 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The %... is an iPython thing, and is not part of the Python language.\n",
+    "# In this case we're just telling the plotting library to draw things on\n",
+    "# the notebook, instead of on a separate window.\n",
+    "%matplotlib inline \n",
+    "#this line above prepares IPython notebook for working with matplotlib\n",
+    "\n",
+    "# See all the \"as ...\" contructs? They're just aliasing the package names.\n",
+    "# That way we can call methods like plt.plot() instead of matplotlib.pyplot.plot().\n",
+    "\n",
+    "import numpy as np # imports a fast numerical programming library\n",
+    "import scipy as sp #imports stats functions, amongst other things\n",
+    "import matplotlib as mpl # this actually imports matplotlib\n",
+    "import matplotlib.cm as cm #allows us easy access to colormaps\n",
+    "import matplotlib.pyplot as plt #sets up plotting under plt\n",
+    "import pandas as pd #lets us handle data as dataframes\n",
+    "#sets up pandas table display\n",
+    "pd.set_option('display.width', 500)\n",
+    "pd.set_option('display.max_columns', 100)\n",
+    "pd.set_option('display.notebook_repr_html', True)\n",
+    "import seaborn as sns #sets up styles and gives us more plotting options"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "NUMBER_DOORS = 100\n",
+    "NUMBER_SIMULATIONS = 10000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def simulate_winnerdoors():\n",
+    "    return np.random.randint(0, NUMBER_DOORS, NUMBER_SIMULATIONS)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def player_guess():\n",
+    "    return np.random.randint(0, NUMBER_DOORS, NUMBER_SIMULATIONS)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Creates a list without the winner doors and the guesses\n",
+    "def reveal_goat_door(winner_doors, guesses):\n",
+    "    result = [[x for x in range(NUMBER_DOORS) if x != winner_doors[i] and x != guesses[i]] for i in range(NUMBER_SIMULATIONS)]\n",
+    "    for i in range(NUMBER_SIMULATIONS):\n",
+    "        if(len(result[i]) == NUMBER_DOORS-1):\n",
+    "            del result[i][0]\n",
+    "    return result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def switch_doors(reveal_doors, guesses):\n",
+    "    switched_doors = [[x for x in range(NUMBER_DOORS) if x not in reveal_doors[i] and x != guesses[i]] for i in range(NUMBER_SIMULATIONS)]\n",
+    "    return np.reshape(switched_doors, (NUMBER_SIMULATIONS,)) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def win_percentage(winner_doors, guesses):\n",
+    "    return 100 * np.mean(winner_doors==guesses)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Win percentage when keeping original door\n",
+      "1.08\n",
+      "Win percentage when switching doors\n",
+      "99.02\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Win percentage when keeping original door\")\n",
+    "print(win_percentage(simulate_winnerdoors(), player_guess()))\n",
+    "\n",
+    "winner_doors = simulate_winnerdoors()\n",
+    "guesses = player_guess()\n",
+    "reveal_goats = reveal_goat_door(winner_doors, guesses)\n",
+    "guesses = switch_doors(reveal_goats, guesses)\n",
+    "print(\"Win percentage when switching doors\")\n",
+    "print(win_percentage(winner_doors, guesses))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Bayes Theorem\n",
+    "\n",
+    "We can get the  Bayes Theorem to get the win percentage directly as shown bellow for the 3 doors problem:\n",
+    "\n",
+    "\\begin{equation}\n",
+    "\\begin{split}\n",
+    "P(p_s| g_i, r_g) &=\\frac{P(r_g| p_i, g_i) * P(p_s, g_i)}{P(g_i, r_g)}\\\\\n",
+    "&= \\frac{1 * P(p_s) * P(g_i)}{P(g_i)*P(r_g|g_i)}\\\\\n",
+    "&= \\frac{1/3}{1/2}\\\\\n",
+    "&= \\frac{2}{3}\n",
+    "\\end{split}\n",
+    "\\end{equation}\n",
+    "\n",
+    "In the general rule we have:\n",
+    "\n",
+    "\\begin{equation}\n",
+    "\\begin{split}\n",
+    "P(p_s| g_i, \\vec{r_g}) &=\\frac{P(\\vec{r_g}| p_i, g_i) * P(p_s, g_i)}{P(g_i, \\vec{r_g})}\\\\\n",
+    "&= \\frac{1 * P(p_s) * P(g_i)}{P(g_i)*P(\\vec{r_g}|g_i)}\\\\\n",
+    "&= \\frac{1/n}{1/(n-1)}\\\\\n",
+    "&= \\frac{n-1}{n}\n",
+    "\\end{split}\n",
+    "\\end{equation}\n",
+    "\n",
+    "* $n = $ number of doors\n",
+    "* $p_s = $ prize on the switched door\n",
+    "* $g_i = $ initial guess\n",
+    "* $r_g = $ reveal a goat door\n",
+    "* $\\vec{r_g} = $ reveal a set of goat doors"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Win percentage when keeping original door\n",
+      "1.03\n",
+      "Win percentage when switching doors\n",
+      "98.97\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Win percentage when keeping original door\")\n",
+    "no_switch = win_percentage(simulate_winnerdoors(), player_guess())\n",
+    "print(no_switch)\n",
+    "\n",
+    "\n",
+    "print(\"Win percentage when switching doors\")\n",
+    "print(100-no_switch)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Win percentage when keeping original door\n",
+      "1.0\n",
+      "Win percentage when switching doors\n",
+      "99.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Win percentage when keeping original door\")\n",
+    "no_switch = 1/NUMBER_DOORS\n",
+    "print(no_switch*100)\n",
+    "\n",
+    "switch = (NUMBER_DOORS-1)/NUMBER_DOORS\n",
+    "print(\"Win percentage when switching doors\")\n",
+    "print(switch*100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/hw0.ipynb b/hw0.ipynb
index 046b6fd..1da188f 100644
--- a/hw0.ipynb
+++ b/hw0.ipynb
@@ -293,9 +293,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -709,9 +707,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -781,9 +777,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -876,9 +870,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# The %... is an iPython thing, and is not part of the Python language.\n",
@@ -920,9 +912,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -980,9 +970,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1045,9 +1033,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1075,9 +1061,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1101,9 +1085,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1128,9 +1110,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1164,9 +1144,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1205,10 +1183,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "\"\"\"\n",
@@ -1249,10 +1225,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "\"\"\"\n",
@@ -1292,10 +1266,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "\"\"\"\n",
@@ -1347,10 +1319,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "\"\"\"\n",
@@ -1398,10 +1368,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "\"\"\"\n",
@@ -1442,19 +1410,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Win percentage when keeping original door\n",
-      "33.19\n",
-      "Win percentage when switching doors\n",
-      "67.3\n"
+     "ename": "SyntaxError",
+     "evalue": "Missing parentheses in call to 'print'. Did you mean print(\"Win percentage when keeping original door\")? (<ipython-input-7-8bb19613f1e6>, line 5)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-7-8bb19613f1e6>\"\u001b[0;36m, line \u001b[0;32m5\u001b[0m\n\u001b[0;31m    print \"Win percentage when keeping original door\"\u001b[0m\n\u001b[0m                                                    ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m Missing parentheses in call to 'print'. Did you mean print(\"Win percentage when keeping original door\")?\n"
      ]
     }
    ],
@@ -1590,23 +1554,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }