diff --git a/.ipynb_checkpoints/SQL_9_python-checkpoint.ipynb b/.ipynb_checkpoints/SQL_9_python-checkpoint.ipynb
new file mode 100644
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+++ b/.ipynb_checkpoints/SQL_9_python-checkpoint.ipynb
@@ -0,0 +1,660 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "0cac804b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: mysql.connector in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (2.2.9)\n",
+      "Requirement already satisfied: mysql.connector.python in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (8.2.0)\n",
+      "Requirement already satisfied: protobuf<=4.21.12,>=4.21.1 in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (from mysql.connector.python) (4.21.12)\n",
+      "Requirement already satisfied: sqlalchemy in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (1.4.22)\n",
+      "Requirement already satisfied: greenlet!=0.4.17 in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (from sqlalchemy) (1.1.1)\n",
+      "Requirement already satisfied: pymysql in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (1.1.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "!pip install mysql.connector\n",
+    "!pip install mysql.connector.python\n",
+    "!pip install sqlalchemy\n",
+    "!pip install pymysql\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a78c4743",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "import pymysql\n",
+    "from sqlalchemy import create_engine\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "89e210be",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "········\n"
+     ]
+    }
+   ],
+   "source": [
+    "import getpass  # To get the password without showing the input\n",
+    "password = getpass.getpass()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "2d9e5c65",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "connection_string = 'mysql+pymysql://root:' + password + '@localhost/sakila'\n",
+    "engine = create_engine(connection_string)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9c8a66a8",
+   "metadata": {
+    "scrolled": true
+   },
+   "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_full_name</th>\n",
+       "      <th>June_rentals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>BRENDA WRIGHT</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ALEX GRESHAM</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FRANK WAGGONER</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>DAISY BATES</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>IAN STILL</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>585</th>\n",
+       "      <td>FRANCIS SIKES</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>586</th>\n",
+       "      <td>ALLEN BUTTERFIELD</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>587</th>\n",
+       "      <td>GREGORY MAULDIN</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>588</th>\n",
+       "      <td>LAURA RODRIGUEZ</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>589</th>\n",
+       "      <td>ELLEN SIMPSON</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>590 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    customer_full_name  June_rentals\n",
+       "0        BRENDA WRIGHT            11\n",
+       "1         ALEX GRESHAM            10\n",
+       "2       FRANK WAGGONER             9\n",
+       "3          DAISY BATES             9\n",
+       "4            IAN STILL             9\n",
+       "..                 ...           ...\n",
+       "585      FRANCIS SIKES             1\n",
+       "586  ALLEN BUTTERFIELD             1\n",
+       "587    GREGORY MAULDIN             1\n",
+       "588    LAURA RODRIGUEZ             1\n",
+       "589      ELLEN SIMPSON             1\n",
+       "\n",
+       "[590 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rentals_june = pd.read_sql_query('select * from sakila.customer_rentals_june', engine)\n",
+    "rentals_june"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1ad03830",
+   "metadata": {
+    "scrolled": true
+   },
+   "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_full_name</th>\n",
+       "      <th>May_rentals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SUE PETERS</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LESLIE SEWARD</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>EDNA WEST</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CASSANDRA WALTERS</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MINNIE ROMERO</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>515</th>\n",
+       "      <td>JOEL FRANCISCO</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>516</th>\n",
+       "      <td>JACK FOUST</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>517</th>\n",
+       "      <td>DOROTHY TAYLOR</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>518</th>\n",
+       "      <td>ANITA MORALES</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>519</th>\n",
+       "      <td>KATHERINE RIVERA</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>520 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    customer_full_name  May_rentals\n",
+       "0           SUE PETERS            8\n",
+       "1        LESLIE SEWARD            7\n",
+       "2            EDNA WEST            7\n",
+       "3    CASSANDRA WALTERS            6\n",
+       "4        MINNIE ROMERO            6\n",
+       "..                 ...          ...\n",
+       "515     JOEL FRANCISCO            1\n",
+       "516         JACK FOUST            1\n",
+       "517     DOROTHY TAYLOR            1\n",
+       "518      ANITA MORALES            1\n",
+       "519   KATHERINE RIVERA            1\n",
+       "\n",
+       "[520 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rentals_may = pd.read_sql_query('select * from sakila.customer_rentals_may', engine)\n",
+    "rentals_may"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d18008e9",
+   "metadata": {
+    "scrolled": true
+   },
+   "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_full_name</th>\n",
+       "      <th>May_rentals</th>\n",
+       "      <th>June_rentals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SUE PETERS</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LESLIE SEWARD</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>EDNA WEST</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CASSANDRA WALTERS</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MINNIE ROMERO</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>507</th>\n",
+       "      <td>CLAUDIA FULLER</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>508</th>\n",
+       "      <td>JOEL FRANCISCO</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>509</th>\n",
+       "      <td>JACK FOUST</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>510</th>\n",
+       "      <td>DOROTHY TAYLOR</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>511</th>\n",
+       "      <td>ANITA MORALES</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>512 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    customer_full_name  May_rentals  June_rentals\n",
+       "0           SUE PETERS            8             8\n",
+       "1        LESLIE SEWARD            7             5\n",
+       "2            EDNA WEST            7             5\n",
+       "3    CASSANDRA WALTERS            6             3\n",
+       "4        MINNIE ROMERO            6             5\n",
+       "..                 ...          ...           ...\n",
+       "507     CLAUDIA FULLER            1             8\n",
+       "508     JOEL FRANCISCO            1             7\n",
+       "509         JACK FOUST            1             3\n",
+       "510     DOROTHY TAYLOR            1             5\n",
+       "511      ANITA MORALES            1             1\n",
+       "\n",
+       "[512 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rentals_may_june = pd.merge(rentals_may, rentals_june, on='customer_full_name')\n",
+    "rentals_may_june\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b3a6f3d0",
+   "metadata": {},
+   "source": [
+    "-- 6.Write a function that checks if customer borrowed more or less films in the month of June as compared to May."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "96323349",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compare_rentals(df, column1, column2):\n",
+    "    result = []\n",
+    "\n",
+    "    for index, row in df.iterrows():\n",
+    "        if row[column1] > row[column2]:\n",
+    "            result.append(f\"{column1} is higher\")\n",
+    "        elif row[column1] < row[column2]:\n",
+    "            result.append(f\"{column2} is higher\")\n",
+    "        else:\n",
+    "            result.append(\"Rentals in May and June are the same\")\n",
+    "\n",
+    "    df['rentals_dif'] = result\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "fc4f7a94",
+   "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_full_name</th>\n",
+       "      <th>May_rentals</th>\n",
+       "      <th>June_rentals</th>\n",
+       "      <th>rentals_dif</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SUE PETERS</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Rentals in May and June are the same</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LESLIE SEWARD</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "      <td>May_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>EDNA WEST</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "      <td>May_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CASSANDRA WALTERS</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>May_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MINNIE ROMERO</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5</td>\n",
+       "      <td>May_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>507</th>\n",
+       "      <td>CLAUDIA FULLER</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "      <td>June_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>508</th>\n",
+       "      <td>JOEL FRANCISCO</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "      <td>June_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>509</th>\n",
+       "      <td>JACK FOUST</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>June_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>510</th>\n",
+       "      <td>DOROTHY TAYLOR</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>June_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>511</th>\n",
+       "      <td>ANITA MORALES</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Rentals in May and June are the same</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>512 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    customer_full_name  May_rentals  June_rentals  \\\n",
+       "0           SUE PETERS            8             8   \n",
+       "1        LESLIE SEWARD            7             5   \n",
+       "2            EDNA WEST            7             5   \n",
+       "3    CASSANDRA WALTERS            6             3   \n",
+       "4        MINNIE ROMERO            6             5   \n",
+       "..                 ...          ...           ...   \n",
+       "507     CLAUDIA FULLER            1             8   \n",
+       "508     JOEL FRANCISCO            1             7   \n",
+       "509         JACK FOUST            1             3   \n",
+       "510     DOROTHY TAYLOR            1             5   \n",
+       "511      ANITA MORALES            1             1   \n",
+       "\n",
+       "                              rentals_dif  \n",
+       "0    Rentals in May and June are the same  \n",
+       "1                   May_rentals is higher  \n",
+       "2                   May_rentals is higher  \n",
+       "3                   May_rentals is higher  \n",
+       "4                   May_rentals is higher  \n",
+       "..                                    ...  \n",
+       "507                June_rentals is higher  \n",
+       "508                June_rentals is higher  \n",
+       "509                June_rentals is higher  \n",
+       "510                June_rentals is higher  \n",
+       "511  Rentals in May and June are the same  \n",
+       "\n",
+       "[512 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "compare_rentals (rentals_may_june, 'May_rentals', 'June_rentals')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/SQL_9_F.sql b/SQL_9_F.sql
new file mode 100644
index 0000000..931534a
--- /dev/null
+++ b/SQL_9_F.sql
@@ -0,0 +1,70 @@
+
+-- In this lab we will find the customers who were active in consecutive months of May and June. Follow the steps to complete the analysis.
+
+-- 1.Create a table `rentals_may` to store the data from rental table with information for the month of May.
+create temporary table sakila.rental_may
+select *, date_format(rental_date, "%M") as month
+from sakila.rental
+where date_format(rental_date, "%M") = 'May';
+
+
+-- to make sure we only have the month of May 
+select distinct month 
+from sakila.rental_may;
+
+-- 2.Create a table `rentals_june` to store the data from rental table with information for the month of June.
+create temporary table sakila.rental_june
+select *, date_format(rental_date, "%M") as month
+from sakila.rental
+where date_format(rental_date, "%M") = 'June';
+
+select distinct month from sakila.rental_june;
+
+-- 3.Check the number of rentals for each customer for May.
+select * from sakila.rental_may;
+select concat(first_name, ' ', last_name) customer_full_name, count(rental_id) as rental_per_costumer 
+from sakila.rental_may rm
+left join sakila.customer c 
+on rm.customer_id = c.customer_id
+group by rm.customer_id
+order by count(rental_id) desc;
+
+-- 4. Check the number of rentals for each customer for June.
+select * from sakila.rental_june;
+select concat(first_name, ' ', last_name) customer_full_name, count(rental_id) as rental_per_costumer 
+from sakila.rental_june rm
+left join sakila.customer c 
+on rm.customer_id = c.customer_id
+group by rm.customer_id
+order by count(rental_id) desc;
+
+
+-- 5. Create a Python connection with SQL database and retrieve the results of the last two queries (also mentioned below) as dataframes:
+		-- a.Check the number of rentals for each customer for May
+create table sakila.customer_rentals_may
+select concat(first_name, ' ', last_name) customer_full_name, count(rental_id) as rental_per_costumer 
+from sakila.rental_may rm
+left join sakila.customer c 
+on rm.customer_id = c.customer_id
+group by rm.customer_id
+order by count(rental_id) desc;
+
+select* from sakila.customer_rentals_may;
+
+		-- b.Check the number of rentals for each customer for June
+create table sakila.customer_rentals_june
+select concat(first_name, ' ', last_name) customer_full_name, count(rental_id) as rental_per_costumer 
+from sakila.rental_june rm
+left join sakila.customer c 
+on rm.customer_id = c.customer_id
+group by rm.customer_id
+order by count(rental_id) desc;
+
+select* from sakila.customer_rentals_june;
+select * from sakila.actor;
+
+
+
+-- 6.Write a function that checks if customer borrowed more or less films in the month of June as compared to May.
+		-- **Hint**: For this part, you can create a join between the two dataframes created before, using the merge function available for pandas dataframes. 
+        -- Here is a link to the documentation for the [merge function](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.merge.html).
\ No newline at end of file
diff --git a/SQL_9_python.ipynb b/SQL_9_python.ipynb
new file mode 100644
index 0000000..b246213
--- /dev/null
+++ b/SQL_9_python.ipynb
@@ -0,0 +1,660 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "0cac804b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: mysql.connector in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (2.2.9)\n",
+      "Requirement already satisfied: mysql.connector.python in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (8.2.0)\n",
+      "Requirement already satisfied: protobuf<=4.21.12,>=4.21.1 in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (from mysql.connector.python) (4.21.12)\n",
+      "Requirement already satisfied: sqlalchemy in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (1.4.22)\n",
+      "Requirement already satisfied: greenlet!=0.4.17 in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (from sqlalchemy) (1.1.1)\n",
+      "Requirement already satisfied: pymysql in c:\\users\\pedro gomes\\anaconda3\\lib\\site-packages (1.1.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "!pip install mysql.connector\n",
+    "!pip install mysql.connector.python\n",
+    "!pip install sqlalchemy\n",
+    "!pip install pymysql\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a78c4743",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "import pymysql\n",
+    "from sqlalchemy import create_engine\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "89e210be",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "········\n"
+     ]
+    }
+   ],
+   "source": [
+    "import getpass  # To get the password without showing the input\n",
+    "password = getpass.getpass()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "2d9e5c65",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "connection_string = 'mysql+pymysql://root:' + password + '@localhost/sakila'\n",
+    "engine = create_engine(connection_string)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9c8a66a8",
+   "metadata": {
+    "scrolled": true
+   },
+   "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_full_name</th>\n",
+       "      <th>June_rentals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>BRENDA WRIGHT</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ALEX GRESHAM</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FRANK WAGGONER</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>DAISY BATES</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>IAN STILL</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>585</th>\n",
+       "      <td>FRANCIS SIKES</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>586</th>\n",
+       "      <td>ALLEN BUTTERFIELD</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>587</th>\n",
+       "      <td>GREGORY MAULDIN</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>588</th>\n",
+       "      <td>LAURA RODRIGUEZ</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>589</th>\n",
+       "      <td>ELLEN SIMPSON</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>590 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    customer_full_name  June_rentals\n",
+       "0        BRENDA WRIGHT            11\n",
+       "1         ALEX GRESHAM            10\n",
+       "2       FRANK WAGGONER             9\n",
+       "3          DAISY BATES             9\n",
+       "4            IAN STILL             9\n",
+       "..                 ...           ...\n",
+       "585      FRANCIS SIKES             1\n",
+       "586  ALLEN BUTTERFIELD             1\n",
+       "587    GREGORY MAULDIN             1\n",
+       "588    LAURA RODRIGUEZ             1\n",
+       "589      ELLEN SIMPSON             1\n",
+       "\n",
+       "[590 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rentals_june = pd.read_sql_query('select * from sakila.customer_rentals_june', engine)\n",
+    "rentals_june"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1ad03830",
+   "metadata": {
+    "scrolled": true
+   },
+   "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_full_name</th>\n",
+       "      <th>May_rentals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SUE PETERS</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LESLIE SEWARD</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>EDNA WEST</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CASSANDRA WALTERS</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MINNIE ROMERO</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>515</th>\n",
+       "      <td>JOEL FRANCISCO</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>516</th>\n",
+       "      <td>JACK FOUST</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>517</th>\n",
+       "      <td>DOROTHY TAYLOR</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>518</th>\n",
+       "      <td>ANITA MORALES</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>519</th>\n",
+       "      <td>KATHERINE RIVERA</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>520 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    customer_full_name  May_rentals\n",
+       "0           SUE PETERS            8\n",
+       "1        LESLIE SEWARD            7\n",
+       "2            EDNA WEST            7\n",
+       "3    CASSANDRA WALTERS            6\n",
+       "4        MINNIE ROMERO            6\n",
+       "..                 ...          ...\n",
+       "515     JOEL FRANCISCO            1\n",
+       "516         JACK FOUST            1\n",
+       "517     DOROTHY TAYLOR            1\n",
+       "518      ANITA MORALES            1\n",
+       "519   KATHERINE RIVERA            1\n",
+       "\n",
+       "[520 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rentals_may = pd.read_sql_query('select * from sakila.customer_rentals_may', engine)\n",
+    "rentals_may"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d18008e9",
+   "metadata": {
+    "scrolled": true
+   },
+   "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_full_name</th>\n",
+       "      <th>May_rentals</th>\n",
+       "      <th>June_rentals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SUE PETERS</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LESLIE SEWARD</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>EDNA WEST</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CASSANDRA WALTERS</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MINNIE ROMERO</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>507</th>\n",
+       "      <td>CLAUDIA FULLER</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>508</th>\n",
+       "      <td>JOEL FRANCISCO</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>509</th>\n",
+       "      <td>JACK FOUST</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>510</th>\n",
+       "      <td>DOROTHY TAYLOR</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>511</th>\n",
+       "      <td>ANITA MORALES</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>512 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    customer_full_name  May_rentals  June_rentals\n",
+       "0           SUE PETERS            8             8\n",
+       "1        LESLIE SEWARD            7             5\n",
+       "2            EDNA WEST            7             5\n",
+       "3    CASSANDRA WALTERS            6             3\n",
+       "4        MINNIE ROMERO            6             5\n",
+       "..                 ...          ...           ...\n",
+       "507     CLAUDIA FULLER            1             8\n",
+       "508     JOEL FRANCISCO            1             7\n",
+       "509         JACK FOUST            1             3\n",
+       "510     DOROTHY TAYLOR            1             5\n",
+       "511      ANITA MORALES            1             1\n",
+       "\n",
+       "[512 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rentals_may_june = pd.merge(rentals_may, rentals_june, on='customer_full_name')\n",
+    "rentals_may_june\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b3a6f3d0",
+   "metadata": {},
+   "source": [
+    "-- 6.Write a function that checks if customer borrowed more or less films in the month of June as compared to May."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "96323349",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compare_rentals(df, column1, column2):\n",
+    "    result = []\n",
+    "\n",
+    "    for index, row in df.iterrows():\n",
+    "        if row[column1] > row[column2]:\n",
+    "            result.append(f\"{column1} is higher\")\n",
+    "        elif row[column1] < row[column2]:\n",
+    "            result.append(f\"{column2} is higher\")\n",
+    "        else:\n",
+    "            result.append(\"Rentals in May and June are the same\")\n",
+    "\n",
+    "    df['rentals_dif'] = result\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "fc4f7a94",
+   "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_full_name</th>\n",
+       "      <th>May_rentals</th>\n",
+       "      <th>June_rentals</th>\n",
+       "      <th>rentals_dif</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SUE PETERS</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Rentals in May and June are the same</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LESLIE SEWARD</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "      <td>May_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>EDNA WEST</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "      <td>May_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CASSANDRA WALTERS</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>May_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MINNIE ROMERO</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5</td>\n",
+       "      <td>May_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>507</th>\n",
+       "      <td>CLAUDIA FULLER</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "      <td>June_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>508</th>\n",
+       "      <td>JOEL FRANCISCO</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "      <td>June_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>509</th>\n",
+       "      <td>JACK FOUST</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>June_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>510</th>\n",
+       "      <td>DOROTHY TAYLOR</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>June_rentals is higher</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>511</th>\n",
+       "      <td>ANITA MORALES</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Rentals in May and June are the same</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>512 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    customer_full_name  May_rentals  June_rentals  \\\n",
+       "0           SUE PETERS            8             8   \n",
+       "1        LESLIE SEWARD            7             5   \n",
+       "2            EDNA WEST            7             5   \n",
+       "3    CASSANDRA WALTERS            6             3   \n",
+       "4        MINNIE ROMERO            6             5   \n",
+       "..                 ...          ...           ...   \n",
+       "507     CLAUDIA FULLER            1             8   \n",
+       "508     JOEL FRANCISCO            1             7   \n",
+       "509         JACK FOUST            1             3   \n",
+       "510     DOROTHY TAYLOR            1             5   \n",
+       "511      ANITA MORALES            1             1   \n",
+       "\n",
+       "                              rentals_dif  \n",
+       "0    Rentals in May and June are the same  \n",
+       "1                   May_rentals is higher  \n",
+       "2                   May_rentals is higher  \n",
+       "3                   May_rentals is higher  \n",
+       "4                   May_rentals is higher  \n",
+       "..                                    ...  \n",
+       "507                June_rentals is higher  \n",
+       "508                June_rentals is higher  \n",
+       "509                June_rentals is higher  \n",
+       "510                June_rentals is higher  \n",
+       "511  Rentals in May and June are the same  \n",
+       "\n",
+       "[512 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "compare_rentals (rentals_may_june, 'May_rentals', 'June_rentals')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}