diff --git a/Python-ifed.ipynb b/Python-ifed.ipynb
index ee9444d..67eef5d 100644
--- a/Python-ifed.ipynb
+++ b/Python-ifed.ipynb
@@ -62,15 +62,16 @@
     "### Describe what each of the following means\n",
     "\n",
     "#### Production\n",
-    "(Insert answer here)\n",
+    "It's the software running on production servers to handle live users and data of the intended audience.\n",
+    "\n",
     "#### Clean \n",
-    "(Insert answer here)\n",
+    "Clean means that the code should be simple, readable and consise, so that it's easy to read, write and maintain.\n",
     "#### Modular\n",
-    "(Insert answer here)\n",
+    "Modular means a design approach that subdivides a system into smaller parts that can be independently created and then used in different systems, example functions. It makes our code more organized, efficient, and reusable.\n",
     "#### Module\n",
-    "(Insert answer here)\n",
+    "Modules allow code to be reused by encapsulating them into files that can be imported into other files.\n",
     "#### Refactoring code\n",
-    "(Insert answer here)"
+    "Refactoring is a way to restructure your code to improve its internal structure without changing its external function at all. "
    ]
   },
   {
@@ -93,9 +94,59 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "      Season       city        date                       team 1  \\\n",
+       "id                                                                 \n",
+       "1   IPL-2017  Hyderabad  05-04-2017          Sunrisers Hyderabad   \n",
+       "2   IPL-2017       Pune  06-04-2017               Mumbai Indians   \n",
+       "3   IPL-2017     Rajkot  07-04-2017                Gujarat Lions   \n",
+       "4   IPL-2017     Indore  08-04-2017       Rising Pune Supergiant   \n",
+       "5   IPL-2017  Bangalore  08-04-2017  Royal Challengers Bangalore   \n",
+       "\n",
+       "                         team 2                  toss winner toss decision  \\\n",
+       "id                                                                           \n",
+       "1   Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
+       "2        Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
+       "3         Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
+       "4               Kings XI Punjab              Kings XI Punjab         field   \n",
+       "5              Delhi Daredevils  Royal Challengers Bangalore           bat   \n",
+       "\n",
+       "    result  dl applied                       winner  win by runs  \\\n",
+       "id                                                                 \n",
+       "1   normal           0          Sunrisers Hyderabad           35   \n",
+       "2   normal           0       Rising Pune Supergiant            0   \n",
+       "3   normal           0        Kolkata Knight Riders            0   \n",
+       "4   normal           0              Kings XI Punjab            0   \n",
+       "5   normal           0  Royal Challengers Bangalore           15   \n",
+       "\n",
+       "    win by wickets player of match                                      venue  \\\n",
+       "id                                                                              \n",
+       "1                0    Yuvraj Singh  Rajiv Gandhi International Stadium, Uppal   \n",
+       "2                7       SPD Smith    Maharashtra Cricket Association Stadium   \n",
+       "3               10         CA Lynn     Saurashtra Cricket Association Stadium   \n",
+       "4                6      GJ Maxwell                     Holkar Cricket Stadium   \n",
+       "5                0       KM Jadhav                      M Chinnaswamy Stadium   \n",
+       "\n",
+       "          umpire 1       umpire 2  \n",
+       "id                                 \n",
+       "1      AY Dandekar       NJ Llong  \n",
+       "2   A Nand Kishore         S Ravi  \n",
+       "3      Nitin Menon      CK Nandan  \n",
+       "4     AK Chaudhary  C Shamshuddin  \n",
+       "5              NaN            NaN  "
+      ],
+      "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>Season</th>\n      <th>city</th>\n      <th>date</th>\n      <th>team 1</th>\n      <th>team 2</th>\n      <th>toss winner</th>\n      <th>toss decision</th>\n      <th>result</th>\n      <th>dl applied</th>\n      <th>winner</th>\n      <th>win by runs</th>\n      <th>win by wickets</th>\n      <th>player of match</th>\n      <th>venue</th>\n      <th>umpire 1</th>\n      <th>umpire 2</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>IPL-2017</td>\n      <td>Hyderabad</td>\n      <td>05-04-2017</td>\n      <td>Sunrisers Hyderabad</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Sunrisers Hyderabad</td>\n      <td>35</td>\n      <td>0</td>\n      <td>Yuvraj Singh</td>\n      <td>Rajiv Gandhi International Stadium, Uppal</td>\n      <td>AY Dandekar</td>\n      <td>NJ Llong</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>IPL-2017</td>\n      <td>Pune</td>\n      <td>06-04-2017</td>\n      <td>Mumbai Indians</td>\n      <td>Rising Pune Supergiant</td>\n      <td>Rising Pune Supergiant</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Rising Pune Supergiant</td>\n      <td>0</td>\n      <td>7</td>\n      <td>SPD Smith</td>\n      <td>Maharashtra Cricket Association Stadium</td>\n      <td>A Nand Kishore</td>\n      <td>S Ravi</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>IPL-2017</td>\n      <td>Rajkot</td>\n      <td>07-04-2017</td>\n      <td>Gujarat Lions</td>\n      <td>Kolkata Knight Riders</td>\n      <td>Kolkata Knight Riders</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Kolkata Knight Riders</td>\n      <td>0</td>\n      <td>10</td>\n      <td>CA Lynn</td>\n      <td>Saurashtra Cricket Association Stadium</td>\n      <td>Nitin Menon</td>\n      <td>CK Nandan</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>IPL-2017</td>\n      <td>Indore</td>\n      <td>08-04-2017</td>\n      <td>Rising Pune Supergiant</td>\n      <td>Kings XI Punjab</td>\n      <td>Kings XI Punjab</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Kings XI Punjab</td>\n      <td>0</td>\n      <td>6</td>\n      <td>GJ Maxwell</td>\n      <td>Holkar Cricket Stadium</td>\n      <td>AK Chaudhary</td>\n      <td>C Shamshuddin</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>IPL-2017</td>\n      <td>Bangalore</td>\n      <td>08-04-2017</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>Delhi Daredevils</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>bat</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>15</td>\n      <td>0</td>\n      <td>KM Jadhav</td>\n      <td>M Chinnaswamy Stadium</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "metadata": {},
+     "execution_count": 2
+    }
+   ],
    "source": [
     "import pandas as pd\n",
     "df = pd.read_csv('matches.csv', sep=',')\n",
@@ -113,9 +164,59 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "      Season       city        date                       team_1  \\\n",
+       "id                                                                 \n",
+       "1   IPL-2017  Hyderabad  05-04-2017          Sunrisers Hyderabad   \n",
+       "2   IPL-2017       Pune  06-04-2017               Mumbai Indians   \n",
+       "3   IPL-2017     Rajkot  07-04-2017                Gujarat Lions   \n",
+       "4   IPL-2017     Indore  08-04-2017       Rising Pune Supergiant   \n",
+       "5   IPL-2017  Bangalore  08-04-2017  Royal Challengers Bangalore   \n",
+       "\n",
+       "                         team_2                  toss_winner toss decision  \\\n",
+       "id                                                                           \n",
+       "1   Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
+       "2        Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
+       "3         Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
+       "4               Kings XI Punjab              Kings XI Punjab         field   \n",
+       "5              Delhi Daredevils  Royal Challengers Bangalore           bat   \n",
+       "\n",
+       "    result  dl_applied                       winner  win_by_runs  \\\n",
+       "id                                                                 \n",
+       "1   normal           0          Sunrisers Hyderabad           35   \n",
+       "2   normal           0       Rising Pune Supergiant            0   \n",
+       "3   normal           0        Kolkata Knight Riders            0   \n",
+       "4   normal           0              Kings XI Punjab            0   \n",
+       "5   normal           0  Royal Challengers Bangalore           15   \n",
+       "\n",
+       "    win_by_wickets player_of_match                                      venue  \\\n",
+       "id                                                                              \n",
+       "1                0    Yuvraj Singh  Rajiv Gandhi International Stadium, Uppal   \n",
+       "2                7       SPD Smith    Maharashtra Cricket Association Stadium   \n",
+       "3               10         CA Lynn     Saurashtra Cricket Association Stadium   \n",
+       "4                6      GJ Maxwell                     Holkar Cricket Stadium   \n",
+       "5                0       KM Jadhav                      M Chinnaswamy Stadium   \n",
+       "\n",
+       "          umpire_1       umpire_2  \n",
+       "id                                 \n",
+       "1      AY Dandekar       NJ Llong  \n",
+       "2   A Nand Kishore         S Ravi  \n",
+       "3      Nitin Menon      CK Nandan  \n",
+       "4     AK Chaudhary  C Shamshuddin  \n",
+       "5              NaN            NaN  "
+      ],
+      "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>Season</th>\n      <th>city</th>\n      <th>date</th>\n      <th>team_1</th>\n      <th>team_2</th>\n      <th>toss_winner</th>\n      <th>toss decision</th>\n      <th>result</th>\n      <th>dl_applied</th>\n      <th>winner</th>\n      <th>win_by_runs</th>\n      <th>win_by_wickets</th>\n      <th>player_of_match</th>\n      <th>venue</th>\n      <th>umpire_1</th>\n      <th>umpire_2</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>IPL-2017</td>\n      <td>Hyderabad</td>\n      <td>05-04-2017</td>\n      <td>Sunrisers Hyderabad</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Sunrisers Hyderabad</td>\n      <td>35</td>\n      <td>0</td>\n      <td>Yuvraj Singh</td>\n      <td>Rajiv Gandhi International Stadium, Uppal</td>\n      <td>AY Dandekar</td>\n      <td>NJ Llong</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>IPL-2017</td>\n      <td>Pune</td>\n      <td>06-04-2017</td>\n      <td>Mumbai Indians</td>\n      <td>Rising Pune Supergiant</td>\n      <td>Rising Pune Supergiant</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Rising Pune Supergiant</td>\n      <td>0</td>\n      <td>7</td>\n      <td>SPD Smith</td>\n      <td>Maharashtra Cricket Association Stadium</td>\n      <td>A Nand Kishore</td>\n      <td>S Ravi</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>IPL-2017</td>\n      <td>Rajkot</td>\n      <td>07-04-2017</td>\n      <td>Gujarat Lions</td>\n      <td>Kolkata Knight Riders</td>\n      <td>Kolkata Knight Riders</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Kolkata Knight Riders</td>\n      <td>0</td>\n      <td>10</td>\n      <td>CA Lynn</td>\n      <td>Saurashtra Cricket Association Stadium</td>\n      <td>Nitin Menon</td>\n      <td>CK Nandan</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>IPL-2017</td>\n      <td>Indore</td>\n      <td>08-04-2017</td>\n      <td>Rising Pune Supergiant</td>\n      <td>Kings XI Punjab</td>\n      <td>Kings XI Punjab</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Kings XI Punjab</td>\n      <td>0</td>\n      <td>6</td>\n      <td>GJ Maxwell</td>\n      <td>Holkar Cricket Stadium</td>\n      <td>AK Chaudhary</td>\n      <td>C Shamshuddin</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>IPL-2017</td>\n      <td>Bangalore</td>\n      <td>08-04-2017</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>Delhi Daredevils</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>bat</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>15</td>\n      <td>0</td>\n      <td>KM Jadhav</td>\n      <td>M Chinnaswamy Stadium</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "metadata": {},
+     "execution_count": 3
+    }
+   ],
    "source": [
     "new_df = df.rename(columns={'team 1': 'team_1',\n",
     "                             'team 2': 'team_2',\n",
@@ -139,9 +240,59 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "      Season       city        date                       team_1  \\\n",
+       "id                                                                 \n",
+       "1   IPL-2017  Hyderabad  05-04-2017          Sunrisers Hyderabad   \n",
+       "2   IPL-2017       Pune  06-04-2017               Mumbai Indians   \n",
+       "3   IPL-2017     Rajkot  07-04-2017                Gujarat Lions   \n",
+       "4   IPL-2017     Indore  08-04-2017       Rising Pune Supergiant   \n",
+       "5   IPL-2017  Bangalore  08-04-2017  Royal Challengers Bangalore   \n",
+       "\n",
+       "                         team 2                  toss_winner toss_decision  \\\n",
+       "id                                                                           \n",
+       "1   Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
+       "2        Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
+       "3         Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
+       "4               Kings XI Punjab              Kings XI Punjab         field   \n",
+       "5              Delhi Daredevils  Royal Challengers Bangalore           bat   \n",
+       "\n",
+       "    result  dl_applied                       winner  win_by_runs  \\\n",
+       "id                                                                 \n",
+       "1   normal           0          Sunrisers Hyderabad           35   \n",
+       "2   normal           0       Rising Pune Supergiant            0   \n",
+       "3   normal           0        Kolkata Knight Riders            0   \n",
+       "4   normal           0              Kings XI Punjab            0   \n",
+       "5   normal           0  Royal Challengers Bangalore           15   \n",
+       "\n",
+       "    win by wickets player of match                                      venue  \\\n",
+       "id                                                                              \n",
+       "1                0    Yuvraj Singh  Rajiv Gandhi International Stadium, Uppal   \n",
+       "2                7       SPD Smith    Maharashtra Cricket Association Stadium   \n",
+       "3               10         CA Lynn     Saurashtra Cricket Association Stadium   \n",
+       "4                6      GJ Maxwell                     Holkar Cricket Stadium   \n",
+       "5                0       KM Jadhav                      M Chinnaswamy Stadium   \n",
+       "\n",
+       "          umpire 1       umpire 2  \n",
+       "id                                 \n",
+       "1      AY Dandekar       NJ Llong  \n",
+       "2   A Nand Kishore         S Ravi  \n",
+       "3      Nitin Menon      CK Nandan  \n",
+       "4     AK Chaudhary  C Shamshuddin  \n",
+       "5              NaN            NaN  "
+      ],
+      "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>Season</th>\n      <th>city</th>\n      <th>date</th>\n      <th>team_1</th>\n      <th>team 2</th>\n      <th>toss_winner</th>\n      <th>toss_decision</th>\n      <th>result</th>\n      <th>dl_applied</th>\n      <th>winner</th>\n      <th>win_by_runs</th>\n      <th>win by wickets</th>\n      <th>player of match</th>\n      <th>venue</th>\n      <th>umpire 1</th>\n      <th>umpire 2</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>IPL-2017</td>\n      <td>Hyderabad</td>\n      <td>05-04-2017</td>\n      <td>Sunrisers Hyderabad</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Sunrisers Hyderabad</td>\n      <td>35</td>\n      <td>0</td>\n      <td>Yuvraj Singh</td>\n      <td>Rajiv Gandhi International Stadium, Uppal</td>\n      <td>AY Dandekar</td>\n      <td>NJ Llong</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>IPL-2017</td>\n      <td>Pune</td>\n      <td>06-04-2017</td>\n      <td>Mumbai Indians</td>\n      <td>Rising Pune Supergiant</td>\n      <td>Rising Pune Supergiant</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Rising Pune Supergiant</td>\n      <td>0</td>\n      <td>7</td>\n      <td>SPD Smith</td>\n      <td>Maharashtra Cricket Association Stadium</td>\n      <td>A Nand Kishore</td>\n      <td>S Ravi</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>IPL-2017</td>\n      <td>Rajkot</td>\n      <td>07-04-2017</td>\n      <td>Gujarat Lions</td>\n      <td>Kolkata Knight Riders</td>\n      <td>Kolkata Knight Riders</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Kolkata Knight Riders</td>\n      <td>0</td>\n      <td>10</td>\n      <td>CA Lynn</td>\n      <td>Saurashtra Cricket Association Stadium</td>\n      <td>Nitin Menon</td>\n      <td>CK Nandan</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>IPL-2017</td>\n      <td>Indore</td>\n      <td>08-04-2017</td>\n      <td>Rising Pune Supergiant</td>\n      <td>Kings XI Punjab</td>\n      <td>Kings XI Punjab</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Kings XI Punjab</td>\n      <td>0</td>\n      <td>6</td>\n      <td>GJ Maxwell</td>\n      <td>Holkar Cricket Stadium</td>\n      <td>AK Chaudhary</td>\n      <td>C Shamshuddin</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>IPL-2017</td>\n      <td>Bangalore</td>\n      <td>08-04-2017</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>Delhi Daredevils</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>bat</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>15</td>\n      <td>0</td>\n      <td>KM Jadhav</td>\n      <td>M Chinnaswamy Stadium</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "metadata": {},
+     "execution_count": 4
+    }
+   ],
    "source": [
     "labels = list(df.columns)\n",
     "labels[0] = labels[0].replace(' ', '_')\n",
@@ -167,11 +318,63 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "      Season       city        date                       team_1  \\\n",
+       "id                                                                 \n",
+       "1   IPL-2017  Hyderabad  05-04-2017          Sunrisers Hyderabad   \n",
+       "2   IPL-2017       Pune  06-04-2017               Mumbai Indians   \n",
+       "3   IPL-2017     Rajkot  07-04-2017                Gujarat Lions   \n",
+       "4   IPL-2017     Indore  08-04-2017       Rising Pune Supergiant   \n",
+       "5   IPL-2017  Bangalore  08-04-2017  Royal Challengers Bangalore   \n",
+       "\n",
+       "                         team_2                  toss_winner toss_decision  \\\n",
+       "id                                                                           \n",
+       "1   Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
+       "2        Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
+       "3         Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
+       "4               Kings XI Punjab              Kings XI Punjab         field   \n",
+       "5              Delhi Daredevils  Royal Challengers Bangalore           bat   \n",
+       "\n",
+       "    result  dl_applied                       winner  win_by_runs  \\\n",
+       "id                                                                 \n",
+       "1   normal           0          Sunrisers Hyderabad           35   \n",
+       "2   normal           0       Rising Pune Supergiant            0   \n",
+       "3   normal           0        Kolkata Knight Riders            0   \n",
+       "4   normal           0              Kings XI Punjab            0   \n",
+       "5   normal           0  Royal Challengers Bangalore           15   \n",
+       "\n",
+       "    win_by_wickets player_of_match                                      venue  \\\n",
+       "id                                                                              \n",
+       "1                0    Yuvraj Singh  Rajiv Gandhi International Stadium, Uppal   \n",
+       "2                7       SPD Smith    Maharashtra Cricket Association Stadium   \n",
+       "3               10         CA Lynn     Saurashtra Cricket Association Stadium   \n",
+       "4                6      GJ Maxwell                     Holkar Cricket Stadium   \n",
+       "5                0       KM Jadhav                      M Chinnaswamy Stadium   \n",
+       "\n",
+       "          umpire_1       umpire_2  \n",
+       "id                                 \n",
+       "1      AY Dandekar       NJ Llong  \n",
+       "2   A Nand Kishore         S Ravi  \n",
+       "3      Nitin Menon      CK Nandan  \n",
+       "4     AK Chaudhary  C Shamshuddin  \n",
+       "5              NaN            NaN  "
+      ],
+      "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>Season</th>\n      <th>city</th>\n      <th>date</th>\n      <th>team_1</th>\n      <th>team_2</th>\n      <th>toss_winner</th>\n      <th>toss_decision</th>\n      <th>result</th>\n      <th>dl_applied</th>\n      <th>winner</th>\n      <th>win_by_runs</th>\n      <th>win_by_wickets</th>\n      <th>player_of_match</th>\n      <th>venue</th>\n      <th>umpire_1</th>\n      <th>umpire_2</th>\n    </tr>\n    <tr>\n      <th>id</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>IPL-2017</td>\n      <td>Hyderabad</td>\n      <td>05-04-2017</td>\n      <td>Sunrisers Hyderabad</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Sunrisers Hyderabad</td>\n      <td>35</td>\n      <td>0</td>\n      <td>Yuvraj Singh</td>\n      <td>Rajiv Gandhi International Stadium, Uppal</td>\n      <td>AY Dandekar</td>\n      <td>NJ Llong</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>IPL-2017</td>\n      <td>Pune</td>\n      <td>06-04-2017</td>\n      <td>Mumbai Indians</td>\n      <td>Rising Pune Supergiant</td>\n      <td>Rising Pune Supergiant</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Rising Pune Supergiant</td>\n      <td>0</td>\n      <td>7</td>\n      <td>SPD Smith</td>\n      <td>Maharashtra Cricket Association Stadium</td>\n      <td>A Nand Kishore</td>\n      <td>S Ravi</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>IPL-2017</td>\n      <td>Rajkot</td>\n      <td>07-04-2017</td>\n      <td>Gujarat Lions</td>\n      <td>Kolkata Knight Riders</td>\n      <td>Kolkata Knight Riders</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Kolkata Knight Riders</td>\n      <td>0</td>\n      <td>10</td>\n      <td>CA Lynn</td>\n      <td>Saurashtra Cricket Association Stadium</td>\n      <td>Nitin Menon</td>\n      <td>CK Nandan</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>IPL-2017</td>\n      <td>Indore</td>\n      <td>08-04-2017</td>\n      <td>Rising Pune Supergiant</td>\n      <td>Kings XI Punjab</td>\n      <td>Kings XI Punjab</td>\n      <td>field</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Kings XI Punjab</td>\n      <td>0</td>\n      <td>6</td>\n      <td>GJ Maxwell</td>\n      <td>Holkar Cricket Stadium</td>\n      <td>AK Chaudhary</td>\n      <td>C Shamshuddin</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>IPL-2017</td>\n      <td>Bangalore</td>\n      <td>08-04-2017</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>Delhi Daredevils</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>bat</td>\n      <td>normal</td>\n      <td>0</td>\n      <td>Royal Challengers Bangalore</td>\n      <td>15</td>\n      <td>0</td>\n      <td>KM Jadhav</td>\n      <td>M Chinnaswamy Stadium</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
    "source": [
-    "# Insert your solution here"
+    "for i in range(len(df.columns)):\n",
+    "    df.rename(columns={df.columns[i]: df.columns[i].replace(' ','_')}, inplace=True)\n",
+    "df.head()"
    ]
   },
   {
@@ -208,7 +411,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -219,7 +422,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -233,9 +436,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "96\nDuration: 8.520490884780884 seconds\n"
+     ]
+    }
+   ],
    "source": [
     "start = time.time()\n",
     "verified_elements = []\n",
@@ -257,11 +468,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "96\nDuration: 0.026564359664916992 seconds\n"
+     ]
+    }
+   ],
    "source": [
-    "# Insert answer here\n",
+    "start = time.time()\n",
+    "subsetArr=np.array(subset_elements)\n",
+    "allArr=np.array(all_elements)\n",
+    "verified_elements = np.array([])\n",
+    "\n",
+    "verified_elements=np.intersect1d(subsetArr,allArr)\n",
     "\n",
     "print(len(verified_elements))\n",
     "print('Duration: {} seconds'.format(time.time() - start))"
@@ -276,14 +500,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "96\nDuration: 0.006795406341552734 seconds\n"
+     ]
+    }
+   ],
    "source": [
-    "# Insert answer here\n",
+    "start = time.time()\n",
+    "verified_elements = list(set(subset_elements)&set(all_elements))\n",
     "\n",
     "print(len(verified_elements))\n",
-    "print('Duration: {} seconds'.format(time.time() - start))"
+    "print(f'Duration: {time.time() - start} seconds')"
    ]
   },
   {
@@ -330,9 +563,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "\u001b[1m============================= test session starts ==============================\u001b[0m\nplatform linux -- Python 3.8.5, pytest-6.2.1, py-1.10.0, pluggy-0.13.1\nrootdir: /home/somubuntu/Desktop/Python-ifed-challenge-pvt\nplugins: xonsh-0.9.13\ncollected 4 items                                                              \u001b[0m\n\ntest_nearest_square.py \u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m                                              [100%]\u001b[0m\n\n\u001b[32m============================== \u001b[32m\u001b[1m4 passed\u001b[0m\u001b[32m in 0.01s\u001b[0m\u001b[32m ===============================\u001b[0m\n"
+     ]
+    }
+   ],
    "source": [
     "! pytest test_nearest_square.py"
    ]
@@ -386,11 +627,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Discord channel name:    Pikachu\nPokekon Type:    ELECTRIC\n"
+     ]
+    }
+   ],
    "source": [
-    "# Insert your code here"
+    "import requests,json\n",
+    "\n",
+    "response=requests.get(\"https://pokeapi.co/api/v2/pokemon/pikachu\")\n",
+    "response.raise_for_status()\n",
+    "pikachuData=response.json()\n",
+    "typeData=pikachuData['types'][0]\n",
+    "typeName=typeData['type']['name']\n",
+    "print(\"Discord channel name:    Pikachu\")\n",
+    "print(\"Pokekon Type:   \",typeName.upper())"
    ]
   },
   {
@@ -404,11 +661,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Takes damage from: GROUND & FLYING types.\n"
+     ]
+    }
+   ],
    "source": [
-    "# Insert your code here"
+    "typeURL=typeData['type']['url']\n",
+    "response=requests.get(typeURL)\n",
+    "pikachuData=response.json()\n",
+    "damageData=pikachuData['damage_relations']\n",
+    "double_damage_from=damageData['double_damage_from'][0]['name']\n",
+    "half_damage_from=damageData['half_damage_from'][0]['name']\n",
+    "print(f'Takes damage from: {double_damage_from.upper()} & {half_damage_from.upper()} types.')"
    ]
   },
   {
@@ -420,11 +691,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "sandshrew\nsandslash\nnidoqueen\nnidoking\ndiglett\n"
+     ]
+    }
+   ],
    "source": [
-    "# Insert your code here"
+    "response=requests.get(\"https://pokeapi.co/api/v2/type/\"+double_damage_from)\n",
+    "response.raise_for_status()\n",
+    "typeData=response.json()\n",
+    "pikachuData=typeData['pokemon']\n",
+    "for i in range(5):\n",
+    "    print(pikachuData[i]['pokemon']['name'])"
    ]
   },
   {
@@ -515,7 +799,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.9"
+   "version": "3.8.5-final"
   }
  },
  "nbformat": 4,
diff --git a/__pycache__/ability.cpython-38.pyc b/__pycache__/ability.cpython-38.pyc
new file mode 100644
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diff --git a/__pycache__/nearest_square.cpython-38.pyc b/__pycache__/nearest_square.cpython-38.pyc
new file mode 100644
index 0000000..d07011d
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diff --git a/__pycache__/pokedexFunc.cpython-38.pyc b/__pycache__/pokedexFunc.cpython-38.pyc
new file mode 100644
index 0000000..08e71c3
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diff --git a/__pycache__/test_abilities.cpython-38-pytest-6.2.1.pyc b/__pycache__/test_abilities.cpython-38-pytest-6.2.1.pyc
new file mode 100644
index 0000000..8a44c6f
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diff --git a/__pycache__/test_nearest_square.cpython-38-pytest-6.2.1.pyc b/__pycache__/test_nearest_square.cpython-38-pytest-6.2.1.pyc
new file mode 100644
index 0000000..2e231ec
Binary files /dev/null and b/__pycache__/test_nearest_square.cpython-38-pytest-6.2.1.pyc differ
diff --git a/ability.py b/ability.py
new file mode 100644
index 0000000..ad5215a
--- /dev/null
+++ b/ability.py
@@ -0,0 +1,11 @@
+import requests,json
+
+def ability(pokeName):
+    response=requests.get("https://pokeapi.co/api/v2/pokemon/"+pokeName)
+    response.raise_for_status()
+    pikachuData=response.json()
+    abilitiesData=pikachuData['abilities']
+    abilities=[]
+    for ability in  abilitiesData:
+        abilities.append(ability['ability']['name'])
+    return abilities
diff --git a/nearest_square.py b/nearest_square.py
new file mode 100644
index 0000000..0f8ba6f
--- /dev/null
+++ b/nearest_square.py
@@ -0,0 +1,7 @@
+def nearest_square(n):
+    if n>0:
+        for i in range(n):
+            if i*i <= n:
+                nearSq = i*i
+        return nearSq
+    return 0
diff --git a/pokedex.py b/pokedex.py
new file mode 100644
index 0000000..9dbbb73
--- /dev/null
+++ b/pokedex.py
@@ -0,0 +1,34 @@
+import PySimpleGUI as sg
+from pokedexFunc import pokeType,ability,TypeDoubleDmg,DoubleDmg5 
+
+sg.theme('DarkBlue')
+layout = [[sg.Text("Enter Pokemon Name: ")],
+          [sg.Input(size=(35,1),key='-INPUT-')],
+          [sg.Text(size=(35,3), key='-Type-')],
+          [sg.Text(size=(35,2), key='-DDF-')],
+          [sg.Text(size=(35,7), key='-DDP-')],
+          [sg.Text(size=(35,8), key='-ABILITIES-')],
+          [sg.Button('Get Details'), sg.Button('Quit')]]
+
+window = sg.Window('POKEDEX', layout, alpha_channel=0.95)
+
+while True:
+    event, values = window.read()
+    
+    if event == sg.WINDOW_CLOSED or event == 'Quit':
+        break
+    
+    typeName=pokeType(values['-INPUT-'].lower())
+    double_damage_from=TypeDoubleDmg(typeName)
+    DoubleDamagePoksList=DoubleDmg5(double_damage_from)
+    doubleDamagePoks='\n--> '.join([str(i).upper() for i in DoubleDamagePoksList])
+    abilitiesList=ability(values['-INPUT-'].lower())
+    abilities='\n--> '.join([str(i).upper() for i in abilitiesList])
+
+    window['-Type-'].update('\nType: '+typeName.upper())
+    window['-DDF-'].update('Double Damage from type: '+double_damage_from.upper())
+    window['-DDP-'].update(f'Double Damage from pokemons:\n--> {doubleDamagePoks}')
+    window['-ABILITIES-'].update(f'Abilities:\n--> {abilities}')
+
+
+window.close()
\ No newline at end of file
diff --git a/pokedexFunc.py b/pokedexFunc.py
new file mode 100644
index 0000000..eeb0128
--- /dev/null
+++ b/pokedexFunc.py
@@ -0,0 +1,91 @@
+#! python3
+# pokedexFunc.py
+
+import requests,json
+
+def pokeType(pokeName):
+    '''Returns the type of pokemon passed in arguments
+
+    PARAMETERS:
+    -----------
+    pokeName : string
+        Name of the pokemon
+
+    RETURNS:
+    ----------
+    typeName : string
+        Type of the pokemon 
+    '''
+
+    response=requests.get("https://pokeapi.co/api/v2/pokemon/"+pokeName)
+    response.raise_for_status()
+    pikachuData=response.json()
+    typeData=pikachuData['types'][0]
+    typeName=typeData['type']['name']
+    return typeName
+
+def TypeDoubleDmg(typeName):
+    '''Returns the pokemon type which gives 2x damage to the type passed in arguments
+
+    PARAMETERS:
+    -----------
+    typeName : string
+        Type of pokemon
+
+    RETURNS:
+    -----------
+    double_damage_from: string
+        Type of pokemon which gives 2x damage to pokeName
+    '''
+    
+    response=requests.get("https://pokeapi.co/api/v2/type/"+typeName)
+    pikachuData=response.json()
+    damageData=pikachuData['damage_relations']
+    double_damage_from=damageData['double_damage_from'][0]['name']
+    return double_damage_from
+
+def DoubleDmg5(double_damage_from):
+    '''Returns the list of five pokemons of the type passed in arguments
+
+    PARAMETERS:
+    -----------
+    double_damage_from : string
+        Type of pokemon
+
+    RETURNS:
+    ------------
+    DDF : list
+        Names of five pokemon of type double_damage_from, in a list
+    '''
+
+    response=requests.get("https://pokeapi.co/api/v2/type/"+double_damage_from)
+    response.raise_for_status()
+    typeData=response.json()
+    pikachuData=typeData['pokemon']
+    DDF=[]
+    for i in range(5):
+        DDF.append(pikachuData[i]['pokemon']['name'])
+    return DDF
+
+def ability(pokeName):
+    '''Returns the list of abilities of the pokemon passed in arguments
+
+    PARAMETERS:
+    -----------
+    pokeName : string
+        Name of pokemon
+
+    RETURNS:
+    ------------
+    abilities : list
+        All abilities of pokeName, in a list
+    '''
+
+    response=requests.get("https://pokeapi.co/api/v2/pokemon/"+pokeName)
+    response.raise_for_status()
+    pikachuData=response.json()
+    abilitiesData=pikachuData['abilities']
+    abilities=[]
+    for ability in  abilitiesData:
+        abilities.append(ability['ability']['name'])
+    return abilities
\ No newline at end of file
diff --git a/step_4.py b/step_4.py
new file mode 100644
index 0000000..fb4590a
--- /dev/null
+++ b/step_4.py
@@ -0,0 +1,126 @@
+#! python3
+# step_4.py
+""" STEP-4 
+This script was made for learning how to optimize our python code.
+
+It reads data from two .txt files, and prints the
+number of lines which are same in both the .txt files.
+
+This script requires that `pandas` be installed within the Python
+environment you are running this script in.
+"""
+
+import time
+import pandas as pd
+import numpy as np
+
+def openFiles():
+    """Open two text files and stores each line in the of that file in a list
+    Parameters:
+    --------------
+    None
+
+    Returns:
+    -------------
+    subset_elements : list 
+        a list of strings from subset_elemets.txt
+    all_elements : list 
+        a list of strings from subset_elements.txt
+    """
+
+    with open('subset_elemets.txt') as f:
+        subset_elements = f.read().split('\n')
+    
+    with open('all_elements.txt') as f:
+        all_elements = f.read().split('\n')
+    return subset_elements,all_elements
+
+def appendOldWay(subset_elements,all_elements):
+    """Prints a list of elements and time taken to execute this function.
+
+    This function uses nested for loops and append() method to find the elements 
+    which are present in both the lists passed as arguments, and stores them in a
+    new list. It prints the length of the new list along with time taken by this 
+    function. 
+    
+    Parameters:
+    --------------
+    subset_elements : list
+        a list of strings 
+    all_elements : list
+        a list of strings
+    Returns:
+    -------------
+    None
+    """
+    start = time.time()
+    verified_elements = []
+    for element in subset_elements:
+        if element in all_elements:
+            verified_elements.append(element)
+    print(len(verified_elements))
+    print('Duration: {} seconds'.format(time.time() - start))
+
+def appendNumPy(subset_elements, all_elements):
+    """Prints a list of elements and time taken to execute this function.
+
+    This function uses NumPy methods to find the elements which are present
+    in both the lists passed as arguments, and stores them in a new list. 
+    It prints the length of the new list along with time taken by this 
+    function. 
+    
+    Parameters:
+    --------------
+    subset_elements : list
+        a list of strings 
+    all_elements : list
+        a list of strings
+    Returns:
+    -------------
+    None
+    """
+
+    start = time.time()
+    subsetArr=np.array(subset_elements)
+    allArr=np.array(all_elements)
+    verified_elements = np.array([])
+    verified_elements=np.intersect1d(subsetArr,allArr)
+    print(len(verified_elements))
+    print('Duration: {} seconds'.format(time.time() - start))
+
+def appendDataStruct(subset_elements,all_elements):
+    """Prints a list of elements and time taken to execute this function.
+
+    This function use of python data structures and set() method to find 
+    the elements which are present in both the lists passed as arguments,
+    and stores them in a new list. It prints the length of the new list along
+     with time taken by this 
+    function. 
+    
+    Parameters:
+    --------------
+    subset_elements : list
+        a list of strings 
+    all_elements : list
+        a list of strings
+    Returns:
+    -------------
+    None
+    """
+
+    start = time.time()
+    verified_elements = list(set(subset_elements)&set(all_elements))
+    print(len(verified_elements))
+    print(f'Duration: {time.time() - start} seconds')
+
+def main():
+    subset_elements, all_elements=openFiles()
+    print('When Using old code with for loop--->')
+    appendOldWay(subset_elements,all_elements)
+    print("when using NumPy module's methods--->")
+    appendNumPy(subset_elements,all_elements)
+    print("When using python data structure's methods(sets)--->")
+    appendDataStruct(subset_elements,all_elements)
+
+if __name__=="__main__":
+    main()
\ No newline at end of file