diff --git a/README.md b/README.md
index b0ef389..34c6b65 100644
--- a/README.md
+++ b/README.md
@@ -87,6 +87,7 @@ git push origin master
 ```
 
 - Paste the link of your lab in Student Portal.
+ok
 
 
 
diff --git a/lab sql python conncetion.ipynb b/lab sql python conncetion.ipynb
new file mode 100644
index 0000000..764541e
--- /dev/null
+++ b/lab sql python conncetion.ipynb	
@@ -0,0 +1,378 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "304fdd20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from sqlalchemy import create_engine\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b608b101",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Conectamos con nuestro MySQL\n",
+    "\n",
+    "engine = create_engine(\"mysql+pymysql://root:30802043@localhost:3306/sakila\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "1f53c092",
+   "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>customer_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>130</td>\n",
+       "      <td>2005-05-24 22:53:30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>459</td>\n",
+       "      <td>2005-05-24 22:54:33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>408</td>\n",
+       "      <td>2005-05-24 23:03:39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>333</td>\n",
+       "      <td>2005-05-24 23:04:41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>222</td>\n",
+       "      <td>2005-05-24 23:05:21</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   rental_id  customer_id         rental_date\n",
+       "0          1          130 2005-05-24 22:53:30\n",
+       "1          2          459 2005-05-24 22:54:33\n",
+       "2          3          408 2005-05-24 23:03:39\n",
+       "3          4          333 2005-05-24 23:04:41\n",
+       "4          5          222 2005-05-24 23:05:21"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# rentals_month, esta función recibe el \"engine\", recibe \"month\" y \"year\" y consulta la tabla \"rental\"\n",
+    "# Devuelve un DataFrame con los alquileres de ese mes y año\n",
+    "\n",
+    "def rentals_month(engine, month, year):\n",
+    "    query = f\"\"\"\n",
+    "    SELECT\n",
+    "        rental_id,\n",
+    "        customer_id,\n",
+    "        rental_date\n",
+    "    FROM rental\n",
+    "    WHERE MONTH(rental_date) = {month}\n",
+    "      AND YEAR(rental_date) = {year};\n",
+    "    \"\"\"\n",
+    "    \n",
+    "    df = pd.read_sql(query, engine)\n",
+    "    return df\n",
+    "\n",
+    "may_rentals = rentals_month(engine, 5, 2005)\n",
+    "may_rentals.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "d977c11b",
+   "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",
+       "  </tbody>\n",
+       "</table>\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"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# rental_count_month, esta función recibe el DataFrame anterior y cuenta cuántos alquileres hizo cada customer_id\n",
+    "# nombra la columna según mes y año (ej: rentals_05_2005)\n",
+    "\n",
+    "def rental_count_month(df, month, year):\n",
+    "    column_name = f\"rentals_{str(month).zfill(2)}_{year}\"\n",
+    "    \n",
+    "    rentals_count = (\n",
+    "        df.groupby(\"customer_id\")\n",
+    "          .size()\n",
+    "          .reset_index(name=column_name)\n",
+    "    )\n",
+    "    \n",
+    "    return rentals_count\n",
+    "\n",
+    "may_count = rental_count_month(may_rentals, 5, 2005)\n",
+    "may_count.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "364a646e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# compare_rentals, esta función recibe dos DataFrames (por ejemplo mayo y junio) y une ambos por customer_id\n",
+    "# calcula la diferencia de alquileres entre meses\n",
+    "\n",
+    "def compare_rentals(df1, df2):\n",
+    "    df = pd.merge(df1, df2, on=\"customer_id\", how=\"inner\")\n",
+    "    \n",
+    "    col1 = df1.columns[1]\n",
+    "    col2 = df2.columns[1]\n",
+    "    \n",
+    "    df[\"difference\"] = df[col2] - df[col1]\n",
+    "    \n",
+    "    return df\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "1a086ac1",
+   "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": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Mayo vs Junio 2005\n",
+    "\n",
+    "# Obtener alquileres por mes\n",
+    "may_rentals = rentals_month(engine, 5, 2005)\n",
+    "june_rentals = rentals_month(engine, 6, 2005)\n",
+    "\n",
+    "# Contar alquileres por cliente\n",
+    "may_count = rental_count_month(may_rentals, 5, 2005)\n",
+    "june_count = rental_count_month(june_rentals, 6, 2005)\n",
+    "\n",
+    "# Comparar actividad\n",
+    "comparison = compare_rentals(may_count, june_count)\n",
+    "\n",
+    "comparison.head()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "42b9cd20",
+   "metadata": {},
+   "source": [
+    "fin"
+   ]
+  }
+ ],
+ "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": "3.14.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}