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‎11-Working With Databases/11.1-sqlite.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### SQL And SQLite\n",
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"SQL (Structured Query Language) is a standard language for managing and manipulating relational databases. SQLite is a self-contained, serverless, and zero-configuration database engine that is widely used for embedded database systems. In this lesson, we will cover the basics of SQL and SQLite, including creating databases, tables, and performing various SQL operations."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import sqlite3"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<sqlite3.Connection at 0x20061df8d60>"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"## Connect to an SQLite database\n",
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"connection=sqlite3.connect('example.db')\n",
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"connection"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"cursor=connection.cursor()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"## Create a Table\n",
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"cursor.execute('''\n",
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"Create Table If Not Exists employees(\n",
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" id Integer Primary Key,\n",
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" name Text Not Null,\n",
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" age Integer,\n",
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" department text\n",
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" )\n",
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"''')\n",
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"\n",
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"## Commit the changes\n",
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"connection.commit()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<sqlite3.Cursor at 0x200619658c0>"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"cursor.execute('''\n",
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"Select * from employees\n",
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" \n",
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"''')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"## Insert the data in sqlite table\n",
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"cursor.execute('''\n",
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"Insert Into employees(name,age,department)\n",
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" values('Krish',32,'Data Scientist')\n",
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"\n",
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"''')\n",
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"\n",
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"cursor.execute('''\n",
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"INSERT INTO employees (name, age, department)\n",
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"VALUES ('Bob', 25, 'Engineering')\n",
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"''')\n",
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"\n",
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"cursor.execute('''\n",
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"INSERT INTO employees (name, age, department)\n",
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"VALUES ('Charlie', 35, 'Finance')\n",
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"''')\n",
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"\n",
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"## commi the changes\n",
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"connection.commit()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"(1, 'Krish', 32, 'Data Scientist')\n",
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"(2, 'Bob', 25, 'Engineering')\n",
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"(3, 'Charlie', 35, 'Finance')\n"
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]
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}
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],
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"source": [
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"## Query the data from the table\n",
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"cursor.execute('Select * from employees')\n",
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"rows=cursor.fetchall()\n",
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"\n",
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"## print the queried data\n",
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"\n",
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"for row in rows:\n",
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" print(row)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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"## Update the data in the table\n",
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"cursor.execute('''\n",
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"UPDATE employees\n",
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"Set age=34\n",
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"where name=\"Krish\"\n",
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"''')\n",
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"\n",
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"connection.commit()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"(1, 'Krish', 34, 'Data Scientist')\n",
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"(2, 'Bob', 25, 'Engineering')\n",
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"(3, 'Charlie', 35, 'Finance')\n"
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]
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}
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],
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"source": [
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"## Query the data from the table\n",
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"cursor.execute('Select * from employees')\n",
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"rows=cursor.fetchall()\n",
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"\n",
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"## print the queried data\n",
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"\n",
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"for row in rows:\n",
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" print(row)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [],
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"source": [
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"## Delete the data from the table\n",
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"cursor.execute('''\n",
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"Delete from employees\n",
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" where name ='Bob'\n",
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"''')\n",
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"\n",
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"connection.commit()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"(1, 'Krish', 34, 'Data Scientist')\n",
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"(3, 'Charlie', 35, 'Finance')\n"
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]
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}
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],
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"source": [
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"## Query the data from the table\n",
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"cursor.execute('Select * from employees')\n",
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"rows=cursor.fetchall()\n",
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"\n",
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"## print the queried data\n",
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"\n",
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"for row in rows:\n",
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" print(row)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [],
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"source": [
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"## Working Wwith Sales Data\n",
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"# Connect to an SQLite database\n",
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"connection = sqlite3.connect('sales_data.db')\n",
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"cursor = connection.cursor()\n",
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"\n",
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"# Create a table for sales data\n",
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"cursor.execute('''\n",
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"CREATE TABLE IF NOT EXISTS sales (\n",
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" id INTEGER PRIMARY KEY,\n",
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" date TEXT NOT NULL,\n",
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" product TEXT NOT NULL,\n",
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" sales INTEGER,\n",
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" region TEXT\n",
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")\n",
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"''')\n",
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"\n",
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"# Insert data into the sales table\n",
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"sales_data = [\n",
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" ('2023-01-01', 'Product1', 100, 'North'),\n",
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" ('2023-01-02', 'Product2', 200, 'South'),\n",
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" ('2023-01-03', 'Product1', 150, 'East'),\n",
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" ('2023-01-04', 'Product3', 250, 'West'),\n",
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" ('2023-01-05', 'Product2', 300, 'North')\n",
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"]\n",
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"\n",
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"cursor.executemany('''\n",
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"Insert into sales(date,product,sales,region)\n",
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" values(?,?,?,?)\n",
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"''',sales_data)\n",
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"\n",
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"connection.commit()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"(1, '2023-01-01', 'Product1', 100, 'North')\n",
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"(2, '2023-01-02', 'Product2', 200, 'South')\n",
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"(3, '2023-01-03', 'Product1', 150, 'East')\n",
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"(4, '2023-01-04', 'Product3', 250, 'West')\n",
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"(5, '2023-01-05', 'Product2', 300, 'North')\n"
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]
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}
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],
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"source": [
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"# Query data from the sales table\n",
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"cursor.execute('SELECT * FROM sales')\n",
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"rows = cursor.fetchall()\n",
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"\n",
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"# Print the queried data\n",
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"for row in rows:\n",
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" print(row)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [],
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"source": [
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"## close the connection\n",
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"connection.close()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
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"outputs": [
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{
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"ename": "ProgrammingError",
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"evalue": "Cannot operate on a closed database.",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mProgrammingError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[1;32mIn[22], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Query data from the sales table\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[43mcursor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mSELECT * FROM sales\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3\u001b[0m rows \u001b[38;5;241m=\u001b[39m cursor\u001b[38;5;241m.\u001b[39mfetchall()\n\u001b[0;32m 5\u001b[0m \u001b[38;5;66;03m# Print the queried data\u001b[39;00m\n",
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"\u001b[1;31mProgrammingError\u001b[0m: Cannot operate on a closed database."
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]
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}
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],
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"source": [
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"# Query data from the sales table\n",
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"cursor.execute('SELECT * FROM sales')\n",
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"rows = cursor.fetchall()\n",
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"\n",
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"# Print the queried data\n",
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"for row in rows:\n",
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" print(row)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎11-Working With Databases/example.db‎

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‎11-Working With Databases/sales_data.db‎

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