diff --git a/MLB_rankings.ipynb b/MLB_rankings.ipynb
index 495b7a2..8081542 100644
--- a/MLB_rankings.ipynb
+++ b/MLB_rankings.ipynb
@@ -6,7 +6,6 @@
       "name": "MLB_rankings.ipynb",
       "provenance": [],
       "collapsed_sections": [],
-      "authorship_tag": "ABX9TyPyISm6N8ZsL/NvT4waBFNx",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -25,7 +24,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/RodericGuigoCorominas/datascience/blob/main/MLB_rankings.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/liamlewis1030/datascience/blob/main/MLB_rankings.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -51,7 +50,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 4,
+      "execution_count": null,
       "metadata": {
         "id": "Q1tgUhRoHXxW",
         "colab": {
@@ -298,7 +297,7 @@
         },
         "outputId": "230be838-1e58-4209-fa99-5b773ccdafb8"
       },
-      "execution_count": 6,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -330,7 +329,7 @@
         "id": "Vl0ED4h8mIVM",
         "outputId": "34f7dc7b-b701-4bfc-d6e4-c3f580e18bf3"
       },
-      "execution_count": 9,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -347,13 +346,59 @@
     {
       "cell_type": "code",
       "source": [
-        "# your code..."
+        "from __future__ import print_function\n",
+        "import numpy as np\n",
+        "import pandas as pd\n",
+        "\n",
+        "url = 'https://raw.githubusercontent.com/RodericGuigoCorominas/datascience/main/datasets/mlb_june_2022.csv'\n",
+        "df = pd.read_csv(url)\n",
+        "df\n",
+        "\n",
+        "pd.__version__\n",
+        "all_teams = np.unique(df[['home','visitor']].to_numpy().flatten())\n",
+        "num_teams = len(all_teams)\n",
+        "\n",
+        "print(\"There are\",num_teams,\"teams\")\n",
+        "print(all_teams)\n",
+        "\n",
+        "teams_dict = dict(zip(all_teams, range(num_teams)))"
       ],
       "metadata": {
-        "id": "h7pqt-a-nfUs"
+        "id": "h7pqt-a-nfUs",
+        "outputId": "be48c138-33ea-4877-ef44-61b4ec97b43f",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
       },
-      "execution_count": null,
-      "outputs": []
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "There are 30 teams\n",
+            "['Angels' 'Astros' 'Athletics' 'Blue Jays' 'Braves' 'Brewers' 'Cardinals'\n",
+            " 'Cubs' 'Diamondbacks' 'Dodgers' 'Giants' 'Guardians' 'Mariners' 'Marlins'\n",
+            " 'Mets' 'Nationals' 'Orioles' 'Padres' 'Phillies' 'Pirates' 'Rangers'\n",
+            " 'Rays' 'Red Sox' 'Reds' 'Rockies' 'Royals' 'Tigers' 'Twins' 'White Sox'\n",
+            " 'Yankees']\n",
+            "             home    visitor  score home  score visitor\n",
+            "0            Cubs    Brewers           5              4\n",
+            "1          Royals  Guardians           3              1\n",
+            "2       Cardinals    Pirates           9              0\n",
+            "3       Nationals       Mets           1              5\n",
+            "4          Braves       Reds           3              6\n",
+            "..            ...        ...         ...            ...\n",
+            "732       Rangers       Rays           3              0\n",
+            "733          Cubs    Brewers           8              7\n",
+            "734     Athletics     Astros           1              3\n",
+            "735  Diamondbacks     Braves           8              7\n",
+            "736       Dodgers    Pirates           3              5\n",
+            "\n",
+            "[737 rows x 4 columns]\n"
+          ]
+        }
+      ]
     }
   ]
 }
\ No newline at end of file
diff --git a/pset2.py b/pset2.py
new file mode 100644
index 0000000..9c3c2ca
--- /dev/null
+++ b/pset2.py
@@ -0,0 +1,152 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "pset2.py",
+      "provenance": [],
+      "collapsed_sections": [],
+      "authorship_tag": "ABX9TyMesRssz4skTykId0NvYhNM",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/liamlewis1030/datascience/blob/main/pset2.py\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "79fdlapYM8cp",
+        "outputId": "28469436-bf39-4ad7-9c9b-9d00e52dbf85"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Average of a1 = 5.2\n"
+          ]
+        }
+      ],
+      "source": [
+        "def average(l): \n",
+        "    sum=0\n",
+        "    for i in l:\n",
+        "        sum=sum+i\n",
+        "    avg = sum / len(l) \n",
+        "    return avg\n",
+        "  \n",
+        "a1 = [1,6,3,9,7] \n",
+        "average(a1) \n",
+        "  \n",
+        "print(\"Average of a1 =\", average(a1))"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "a1 = [3,0]\n",
+        "a2 = [6,1,7]\n",
+        "def common(x,y):\n",
+        "    w=False\n",
+        "    for a in x:\n",
+        "        for b in y:\n",
+        "            print(a,b)\n",
+        "            if a == b:\n",
+        "                print(\"Common element!\")\n",
+        "                w=True\n",
+        "    return w\n",
+        "common(a1,a2)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "3tRtkucQNJH8",
+        "outputId": "6e89ce3c-febe-40eb-8864-17b0655d68f4"
+      },
+      "execution_count": 68,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "3 6\n",
+            "3 1\n",
+            "3 7\n",
+            "0 6\n",
+            "0 1\n",
+            "0 7\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "False"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 68
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "a1 = [3,7,12,16,-4,6,0,1,0]\n",
+        "def zerooo(x):\n",
+        "    for a in x:\n",
+        "        if a != 0:\n",
+        "            print(a)\n",
+        "        if a==0:\n",
+        "            print('zerooo')\n",
+        "zerooo(a1)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "pCTii0kBNJ6u",
+        "outputId": "6c87d365-8d74-4cb5-9e67-763a57e68863"
+      },
+      "execution_count": 95,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "3\n",
+            "7\n",
+            "12\n",
+            "16\n",
+            "-4\n",
+            "6\n",
+            "zerooo\n",
+            "1\n",
+            "zerooo\n"
+          ]
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file