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Database Connection with Python using SQLite
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‎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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"# Database Connection with Python using SQLite3"
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]
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},
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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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"A database connection is essential for allowing your application (such as a Python program) to interact with a database. Without a connection, your program wouldn't be able to read, write, or manipulate data stored in the database. Here are some of the key reasons why a database connection is needed:\n",
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"\n",
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"1. Data Storage and Retrieval\n",
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"2. Enabling SQL Queries\n",
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"3. Transaction Management\n",
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"4. Concurrency and Multi-user Access\n",
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"5. Security and Authentication\n",
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"6. Efficiency and Performance\n",
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"7. Data Integrity and Consistency\n",
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"8. Communication Between Application and Database\n",
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"9. Managing Complex Queries and Relationships\n",
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"10. External Applications and APIs"
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]
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},
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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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"### How to do Database Connection\n",
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"\n",
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"To connect to a database using Python, you'll need to use a database connector or driver specific to the type of database you're working with (e.g., SQLite, MySQL, PostgreSQL).\n",
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"\n",
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"**1. Import required library (SQLite):** SQLite is a lightweight, serverless database, and Python has a built-in library called sqlite3 to connect to SQLite databases."
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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": 23,
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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": "markdown",
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"metadata": {},
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"source": [
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"**2. Connect to a Database:** It creates a new one if it doesn't exist."
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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": 24,
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"metadata": {},
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"outputs": [],
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"source": [
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"connect = sqlite3.connect('example.db')"
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]
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},
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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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"**3. Create a Cursor Object:** Cursor serves as an intermediary between your Python code and the database."
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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": 25,
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"metadata": {},
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"outputs": [],
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"source": [
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"cursor = connect.cursor()"
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]
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},
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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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"**4. Create a Table:** Create a new table if doesn't exist."
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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": 26,
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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 0x1abd038dec0>"
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]
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},
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"execution_count": 26,
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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('''CREATE TABLE IF NOT EXISTS person (id INTEGER PRIMARY KEY, name VARCHAR NOT NULL, age INTEGER, department VARCHAR)''')"
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]
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},
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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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"**5. Insert data into Tables:** "
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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": 27,
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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 0x1abd038dec0>"
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]
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},
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"execution_count": 27,
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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(\"INSERT INTO person (name, age, department) VALUES ('nitin', 28, 'Machine Learning')\")\n",
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"\n",
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"cursor.execute(\"INSERT INTO person (name, age, department) VALUES ('ruchita', 30, 'Data Analyst')\")\n",
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"\n",
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"cursor.execute(\"INSERT INTO person (name, age, department) VALUES ('neha', 29, 'Data Engineer')\")\n",
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"\n",
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"cursor.execute(\"INSERT INTO person (name, age, department) VALUES ('timish', 27, 'Cloud Engineer')\")\n",
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"\n",
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"cursor.execute(\"INSERT INTO person (name, age, department) VALUES ('amol', 27, 'Testing Engineer')\")"
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]
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},
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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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"**6. Commit the changes:** "
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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": 28,
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"metadata": {},
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"outputs": [],
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"source": [
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"connect.commit()"
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]
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},
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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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"**7. Retrieve Data:**"
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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": 29,
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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, 'nitin', 28, 'Machine Learning')\n",
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"(2, 'ruchita', 30, 'Data Analyst')\n",
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"(3, 'neha', 29, 'Data Engineer')\n",
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"(4, 'timish', 27, 'Cloud Engineer')\n",
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"(5, 'amol', 27, 'Testing Engineer')\n"
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]
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}
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],
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"source": [
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"cursor.execute(\"SELECT * FROM person\")\n",
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"\n",
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"rows = cursor.fetchall()\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": "markdown",
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"metadata": {},
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"source": [
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"**8. Close the Connecction:**"
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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": 30,
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"metadata": {},
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"outputs": [],
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"source": [
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"connect.close()"
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]
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},
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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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"### Full Example:"
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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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"name": "stdout",
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"output_type": "stream",
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"text": [
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"(1, 'nitin', 28, 'Machine Learning')\n",
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"(2, 'rucha', 30, 'Data Analyst')\n",
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"(3, 'neha', 29, 'Data Engineer')\n",
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"(4, 'timish', 27, 'Cloud Engineer')\n",
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"(5, 'amol', 27, 'Testing Engineer')\n"
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]
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}
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],
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"source": [
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"import sqlite3\n",
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"\n",
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"# Connect to a database (it creates a new one if it doesn't exist)\n",
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"connect = sqlite3.connect('example.db')\n",
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"\n",
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"# Create a cursor object\n",
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"cursor = connect.cursor()\n",
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"\n",
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"# Create a table (if it doesn't exist)\n",
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"cursor.execute('''CREATE TABLE IF NOT EXISTS students (\n",
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" id INTEGER PRIMARY KEY, \n",
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" name TEXT, \n",
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" age INTEGER, \n",
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" department TEXT)''')\n",
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"\n",
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"# Insert data into the table\n",
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"cursor.execute(\"INSERT INTO students (name, age, department) VALUES ('nitin', 28, 'Machine Learning')\")\n",
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"cursor.execute(\"INSERT INTO students (name, age, department) VALUES ('rucha', 30, 'Data Analyst')\")\n",
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"cursor.execute(\"INSERT INTO students (name, age, department) VALUES ('neha', 29, 'Data Engineer')\")\n",
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"cursor.execute(\"INSERT INTO students (name, age, department) VALUES ('timish', 27, 'Cloud Engineer')\")\n",
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"cursor.execute(\"INSERT INTO students (name, age, department) VALUES ('amol', 27, 'Testing Engineer')\")\n",
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"\n",
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"# Commit the changes\n",
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"connect.commit()\n",
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"\n",
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"# Retrieve data\n",
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"cursor.execute(\"SELECT * FROM students\")\n",
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"rows = cursor.fetchall()\n",
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"\n",
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"# Display the results\n",
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"for row in rows:\n",
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" print(row)\n",
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"\n",
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"# Close the connection\n",
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"connect.close()\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "database_connection",
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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": "3.12.1"
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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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}

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