diff --git a/SQL lab 7.ipynb b/SQL lab 7.ipynb
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+{
+  "metadata": {
+    "kernelspec": {
+      "name": "python",
+      "display_name": "Python (Pyodide)",
+      "language": "python"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "python",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.8"
+    }
+  },
+  "nbformat_minor": 5,
+  "nbformat": 4,
+  "cells": [
+    {
+      "id": "6c0a67d3-de8f-4b6a-b51d-9fe737ee5ab3",
+      "cell_type": "code",
+      "source": "import pandas as pd\nfrom sqlalchemy import create_engine\nimport getpass\n\npassword = getpass.getpass(\"Enter MySQL password: \")\nuser = \"root\"\nhost = \"localhost\"\ndb = \"sakila\"\n\nconnection_string = f\"mysql+pymysql://{user}:{password}@{host}/{db}\"\nengine = create_engine(connection_string)\n\nwith engine.connecction() as conn:\n    print(\"Connection successfully!\")\n\ndef rentals_month(engine, month, year):\n    query = f\"\"\"\n        SELECT *\n        FROM rental\n        WHERE MONTH(rental_date) = {month}\n            AND YEAR(rental_date) = {year}\n    \"\"\"\n    df = pd.read_sql(query, engine)\n    return df\n\ndef rental_count_month(df, month, year):\n    col_name = f\"rentals_{month:02d}_{year}\"\n\n    result = (\n        df.groupby(\"customer_id\")\n          .size()\n          .reset_index(name=col_name)\n    )\n    return result\n\ndef compare_rentals(df1, df2):\n    combined = pd.merge(df1, df2, on=\"customer_id\", how=\"outer\")\n    combined = combined.fillna(0)\n\n    rental_cols = [c for c in combined.columns if c != \"customer_id\"]\n    combined[\"difference\"] = combined[rental_cols[0]] - combined[rental_cols[1]]\n\n    return combined\n\nmay_df = rentals_month(engine, 5, 2005)\njune_df = rentals_month(engine, 6, 2005)\n\nmay_counts = rental_count_month(may_df, 5, 2005)\njune_counts = rental_count_month(june_df, 6,2005)\n\ncomparison = compare_rentals(may_counts, june_counts)\ncomparison.head()",
+      "metadata": {
+        "trusted": true
+      },
+      "outputs": [],
+      "execution_count": null
+    }
+  ]
+}
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