diff --git a/SQL_python_connection.ipynb b/SQL_python_connection.ipynb
new file mode 100644
index 0000000..745a7cb
--- /dev/null
+++ b/SQL_python_connection.ipynb
@@ -0,0 +1,1033 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "59ab424e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: sqlalchemy in /opt/anaconda3/lib/python3.13/site-packages (2.0.39)\n",
+      "Requirement already satisfied: pandas in /opt/anaconda3/lib/python3.13/site-packages (2.2.3)\n",
+      "Requirement already satisfied: mysql-connector-python in /opt/anaconda3/lib/python3.13/site-packages (9.5.0)\n",
+      "Requirement already satisfied: typing-extensions>=4.6.0 in /opt/anaconda3/lib/python3.13/site-packages (from sqlalchemy) (4.15.0)\n",
+      "Requirement already satisfied: numpy>=1.26.0 in /opt/anaconda3/lib/python3.13/site-packages (from pandas) (2.1.3)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/anaconda3/lib/python3.13/site-packages (from pandas) (2.9.0.post0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /opt/anaconda3/lib/python3.13/site-packages (from pandas) (2024.1)\n",
+      "Requirement already satisfied: tzdata>=2022.7 in /opt/anaconda3/lib/python3.13/site-packages (from pandas) (2025.2)\n",
+      "Requirement already satisfied: six>=1.5 in /opt/anaconda3/lib/python3.13/site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
+   "source": [
+    "pip install sqlalchemy pandas mysql-connector-python"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "05ae9bda",
+   "metadata": {},
+   "source": [
+    "Importing the library sqlalchemy for My sql"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "a98c9515",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from sqlalchemy import create_engine"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "86f9c6fc",
+   "metadata": {},
+   "source": [
+    "Challenge - 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "e123eb11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "engine = create_engine(\n",
+    "    \"mysql+mysqlconnector://root:divya2025@localhost:3306/sakila\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "476cb1ed",
+   "metadata": {},
+   "source": [
+    "Tesing the connection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "fa01a84b",
+   "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>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2005-05-24 22:53:30</td>\n",
+       "      <td>367</td>\n",
+       "      <td>130</td>\n",
+       "      <td>2005-05-26 22:04:30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2005-05-24 22:54:33</td>\n",
+       "      <td>1525</td>\n",
+       "      <td>459</td>\n",
+       "      <td>2005-05-28 19:40:33</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2005-05-24 23:03:39</td>\n",
+       "      <td>1711</td>\n",
+       "      <td>408</td>\n",
+       "      <td>2005-06-01 22:12:39</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2005-05-24 23:04:41</td>\n",
+       "      <td>2452</td>\n",
+       "      <td>333</td>\n",
+       "      <td>2005-06-03 01:43:41</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>2005-05-24 23:05:21</td>\n",
+       "      <td>2079</td>\n",
+       "      <td>222</td>\n",
+       "      <td>2005-06-02 04:33:21</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0          1 2005-05-24 22:53:30           367          130   \n",
+       "1          2 2005-05-24 22:54:33          1525          459   \n",
+       "2          3 2005-05-24 23:03:39          1711          408   \n",
+       "3          4 2005-05-24 23:04:41          2452          333   \n",
+       "4          5 2005-05-24 23:05:21          2079          222   \n",
+       "\n",
+       "          return_date  staff_id         last_update  \n",
+       "0 2005-05-26 22:04:30         1 2006-02-15 21:30:53  \n",
+       "1 2005-05-28 19:40:33         1 2006-02-15 21:30:53  \n",
+       "2 2005-06-01 22:12:39         1 2006-02-15 21:30:53  \n",
+       "3 2005-06-03 01:43:41         2 2006-02-15 21:30:53  \n",
+       "4 2005-06-02 04:33:21         1 2006-02-15 21:30:53  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "query = \"SELECT * FROM rental LIMIT 5;\"\n",
+    "df_test = pd.read_sql(query, engine)\n",
+    "df_test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36d092b2",
+   "metadata": {},
+   "source": [
+    "Loading the dataframe for functions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "ef5b5b10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_sql(query, engine)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3d7f28e0",
+   "metadata": {},
+   "source": [
+    "Challenge - 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "d4164e13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rentals_month(engine, month, year):\n",
+    "    query = f\"\"\"\n",
+    "    SELECT * FROM rental\n",
+    "    WHERE MONTH(rental_date) = {month}\n",
+    "        AND YEAR(rental_date) = {year};\n",
+    "    \"\"\"\n",
+    "\n",
+    "    df = pd.read_sql(query, engine) #df is loaded inside the function to avoid a global variable\n",
+    "    return df "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "d7356a96",
+   "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>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2005-05-24 22:53:30</td>\n",
+       "      <td>367</td>\n",
+       "      <td>130</td>\n",
+       "      <td>2005-05-26 22:04:30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2005-05-24 22:54:33</td>\n",
+       "      <td>1525</td>\n",
+       "      <td>459</td>\n",
+       "      <td>2005-05-28 19:40:33</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2005-05-24 23:03:39</td>\n",
+       "      <td>1711</td>\n",
+       "      <td>408</td>\n",
+       "      <td>2005-06-01 22:12:39</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2005-05-24 23:04:41</td>\n",
+       "      <td>2452</td>\n",
+       "      <td>333</td>\n",
+       "      <td>2005-06-03 01:43:41</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>2005-05-24 23:05:21</td>\n",
+       "      <td>2079</td>\n",
+       "      <td>222</td>\n",
+       "      <td>2005-06-02 04:33:21</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1151</th>\n",
+       "      <td>1153</td>\n",
+       "      <td>2005-05-31 21:36:44</td>\n",
+       "      <td>2725</td>\n",
+       "      <td>506</td>\n",
+       "      <td>2005-06-10 01:26:44</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1152</th>\n",
+       "      <td>1154</td>\n",
+       "      <td>2005-05-31 21:42:09</td>\n",
+       "      <td>2732</td>\n",
+       "      <td>59</td>\n",
+       "      <td>2005-06-08 16:40:09</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1153</th>\n",
+       "      <td>1155</td>\n",
+       "      <td>2005-05-31 22:17:11</td>\n",
+       "      <td>2048</td>\n",
+       "      <td>251</td>\n",
+       "      <td>2005-06-04 20:27:11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1154</th>\n",
+       "      <td>1156</td>\n",
+       "      <td>2005-05-31 22:37:34</td>\n",
+       "      <td>460</td>\n",
+       "      <td>106</td>\n",
+       "      <td>2005-06-01 23:02:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1155</th>\n",
+       "      <td>1157</td>\n",
+       "      <td>2005-05-31 22:47:45</td>\n",
+       "      <td>1449</td>\n",
+       "      <td>61</td>\n",
+       "      <td>2005-06-02 18:01:45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1156 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0             1 2005-05-24 22:53:30           367          130   \n",
+       "1             2 2005-05-24 22:54:33          1525          459   \n",
+       "2             3 2005-05-24 23:03:39          1711          408   \n",
+       "3             4 2005-05-24 23:04:41          2452          333   \n",
+       "4             5 2005-05-24 23:05:21          2079          222   \n",
+       "...         ...                 ...           ...          ...   \n",
+       "1151       1153 2005-05-31 21:36:44          2725          506   \n",
+       "1152       1154 2005-05-31 21:42:09          2732           59   \n",
+       "1153       1155 2005-05-31 22:17:11          2048          251   \n",
+       "1154       1156 2005-05-31 22:37:34           460          106   \n",
+       "1155       1157 2005-05-31 22:47:45          1449           61   \n",
+       "\n",
+       "             return_date  staff_id         last_update  \n",
+       "0    2005-05-26 22:04:30         1 2006-02-15 21:30:53  \n",
+       "1    2005-05-28 19:40:33         1 2006-02-15 21:30:53  \n",
+       "2    2005-06-01 22:12:39         1 2006-02-15 21:30:53  \n",
+       "3    2005-06-03 01:43:41         2 2006-02-15 21:30:53  \n",
+       "4    2005-06-02 04:33:21         1 2006-02-15 21:30:53  \n",
+       "...                  ...       ...                 ...  \n",
+       "1151 2005-06-10 01:26:44         2 2006-02-15 21:30:53  \n",
+       "1152 2005-06-08 16:40:09         1 2006-02-15 21:30:53  \n",
+       "1153 2005-06-04 20:27:11         2 2006-02-15 21:30:53  \n",
+       "1154 2005-06-01 23:02:34         2 2006-02-15 21:30:53  \n",
+       "1155 2005-06-02 18:01:45         1 2006-02-15 21:30:53  \n",
+       "\n",
+       "[1156 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may_df = rentals_month(engine, 5, 2005)\n",
+    "may_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "65958955",
+   "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>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1158</td>\n",
+       "      <td>2005-06-14 22:53:33</td>\n",
+       "      <td>1632</td>\n",
+       "      <td>416</td>\n",
+       "      <td>2005-06-18 21:37:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1159</td>\n",
+       "      <td>2005-06-14 22:55:13</td>\n",
+       "      <td>4395</td>\n",
+       "      <td>516</td>\n",
+       "      <td>2005-06-17 02:11:13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1160</td>\n",
+       "      <td>2005-06-14 23:00:34</td>\n",
+       "      <td>2795</td>\n",
+       "      <td>239</td>\n",
+       "      <td>2005-06-18 01:58:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1161</td>\n",
+       "      <td>2005-06-14 23:07:08</td>\n",
+       "      <td>1690</td>\n",
+       "      <td>285</td>\n",
+       "      <td>2005-06-21 17:12:08</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1162</td>\n",
+       "      <td>2005-06-14 23:09:38</td>\n",
+       "      <td>987</td>\n",
+       "      <td>310</td>\n",
+       "      <td>2005-06-23 22:00:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2306</th>\n",
+       "      <td>3465</td>\n",
+       "      <td>2005-06-21 22:10:01</td>\n",
+       "      <td>1488</td>\n",
+       "      <td>510</td>\n",
+       "      <td>2005-06-30 21:35:01</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2307</th>\n",
+       "      <td>3466</td>\n",
+       "      <td>2005-06-21 22:13:33</td>\n",
+       "      <td>371</td>\n",
+       "      <td>226</td>\n",
+       "      <td>2005-06-25 21:01:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2308</th>\n",
+       "      <td>3467</td>\n",
+       "      <td>2005-06-21 22:19:25</td>\n",
+       "      <td>729</td>\n",
+       "      <td>543</td>\n",
+       "      <td>2005-06-27 00:03:25</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2309</th>\n",
+       "      <td>3468</td>\n",
+       "      <td>2005-06-21 22:43:45</td>\n",
+       "      <td>2899</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2005-06-30 01:49:45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2310</th>\n",
+       "      <td>3469</td>\n",
+       "      <td>2005-06-21 22:48:59</td>\n",
+       "      <td>4087</td>\n",
+       "      <td>181</td>\n",
+       "      <td>2005-06-28 19:32:59</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2311 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0          1158 2005-06-14 22:53:33          1632          416   \n",
+       "1          1159 2005-06-14 22:55:13          4395          516   \n",
+       "2          1160 2005-06-14 23:00:34          2795          239   \n",
+       "3          1161 2005-06-14 23:07:08          1690          285   \n",
+       "4          1162 2005-06-14 23:09:38           987          310   \n",
+       "...         ...                 ...           ...          ...   \n",
+       "2306       3465 2005-06-21 22:10:01          1488          510   \n",
+       "2307       3466 2005-06-21 22:13:33           371          226   \n",
+       "2308       3467 2005-06-21 22:19:25           729          543   \n",
+       "2309       3468 2005-06-21 22:43:45          2899          100   \n",
+       "2310       3469 2005-06-21 22:48:59          4087          181   \n",
+       "\n",
+       "             return_date  staff_id         last_update  \n",
+       "0    2005-06-18 21:37:33         2 2006-02-15 21:30:53  \n",
+       "1    2005-06-17 02:11:13         1 2006-02-15 21:30:53  \n",
+       "2    2005-06-18 01:58:34         2 2006-02-15 21:30:53  \n",
+       "3    2005-06-21 17:12:08         1 2006-02-15 21:30:53  \n",
+       "4    2005-06-23 22:00:38         1 2006-02-15 21:30:53  \n",
+       "...                  ...       ...                 ...  \n",
+       "2306 2005-06-30 21:35:01         1 2006-02-15 21:30:53  \n",
+       "2307 2005-06-25 21:01:33         2 2006-02-15 21:30:53  \n",
+       "2308 2005-06-27 00:03:25         2 2006-02-15 21:30:53  \n",
+       "2309 2005-06-30 01:49:45         1 2006-02-15 21:30:53  \n",
+       "2310 2005-06-28 19:32:59         1 2006-02-15 21:30:53  \n",
+       "\n",
+       "[2311 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "june_df = rentals_month(engine, 6, 2005)\n",
+    "june_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5021ad98",
+   "metadata": {},
+   "source": [
+    "Challenge - 3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "471c0cea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rental_count_month (df, month, year):\n",
+    "    column_name = f\"rentals_{month:02d}_{year}\" # since column name as per instructions should be rentals_month number_year\n",
+    "\n",
+    "    result = (df.groupby(\"customer_id\")[\"rental_id\"].count().reset_index(name=column_name))\n",
+    "    return result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "1b80daf3",
+   "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>customer_id</th>\n",
+       "      <th>rentals_05_2005</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>515</th>\n",
+       "      <td>594</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>516</th>\n",
+       "      <td>595</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>517</th>\n",
+       "      <td>596</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>518</th>\n",
+       "      <td>597</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>519</th>\n",
+       "      <td>599</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>520 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer_id  rentals_05_2005\n",
+       "0              1                2\n",
+       "1              2                1\n",
+       "2              3                2\n",
+       "3              5                3\n",
+       "4              6                3\n",
+       "..           ...              ...\n",
+       "515          594                4\n",
+       "516          595                1\n",
+       "517          596                6\n",
+       "518          597                2\n",
+       "519          599                1\n",
+       "\n",
+       "[520 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may_count = rental_count_month(may_df, 5, 2005)\n",
+    "may_count"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "fc45ae1f",
+   "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>customer_id</th>\n",
+       "      <th>rentals_06_2005</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>585</th>\n",
+       "      <td>595</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>586</th>\n",
+       "      <td>596</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>587</th>\n",
+       "      <td>597</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>588</th>\n",
+       "      <td>598</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>589</th>\n",
+       "      <td>599</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>590 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer_id  rentals_06_2005\n",
+       "0              1                7\n",
+       "1              2                1\n",
+       "2              3                4\n",
+       "3              4                6\n",
+       "4              5                5\n",
+       "..           ...              ...\n",
+       "585          595                2\n",
+       "586          596                2\n",
+       "587          597                3\n",
+       "588          598                1\n",
+       "589          599                4\n",
+       "\n",
+       "[590 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "june_count = rental_count_month(june_df, 6, 2005)\n",
+    "june_count"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1275699b",
+   "metadata": {},
+   "source": [
+    "Create a Python function called compare_rentals that takes two DataFrames as input containing the number of rentals made by each customer in different months and years. The function should return a combined DataFrame with a new 'difference' column, which is the difference between the number of rentals in the two months."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "769fc709",
+   "metadata": {},
+   "source": [
+    "Challenge - 4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "cb19f7a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compare_rentals(df1, df2):\n",
+    "    merged = df1.merge(df2, on=\"customer_id\", how =\"inner\") #merging both dfs to find out the difference, only for customers who are present in both months (inner join)\n",
+    "    rental_columns = merged.columns.drop(\"customer_id\")\n",
+    "    merged[\"difference\"] = merged[rental_columns[1]] - merged[rental_columns[0]]\n",
+    "    return merged\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "9c765aad",
+   "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>customer_id</th>\n",
+       "      <th>rentals_05_2005</th>\n",
+       "      <th>rentals_06_2005</th>\n",
+       "      <th>difference</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   customer_id  rentals_05_2005  rentals_06_2005  difference\n",
+       "0            1                2                7           5\n",
+       "1            2                1                1           0\n",
+       "2            3                2                4           2\n",
+       "3            5                3                5           2\n",
+       "4            6                3                4           1"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may_df = rentals_month(engine, 5, 2005)\n",
+    "june_df = rentals_month(engine, 6, 2005)\n",
+    "\n",
+    "may_counts = rental_count_month(may_df, 5, 2005)\n",
+    "june_counts = rental_count_month(june_df, 6, 2005)\n",
+    "\n",
+    "comparison = compare_rentals(may_counts, june_counts)\n",
+    "comparison.head()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}