Exploring SQL with Python: A Quick Guide

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Python is a versatile language that pairs exceptionally well with SQL for managing and querying databases. Whether you’re working on a small project or a large-scale application, Python provides several libraries to interact with SQL databases efficiently. Here’s a quick overview of how to get started with SQL in Python.

1. Setting Up: SQLite

SQLite is a lightweight, serverless database that’s perfect for small projects. Python’s sqlite3 module provides a simple interface to work with SQLite databases.

• Example: Connecting to SQLite

import sqlite3

# Connect to a database (or create it)
connection = sqlite3.connect('example.db')

# Create a cursor object
cursor = connection.cursor()

# Execute an SQL command
cursor.execute('''CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT, age INTEGER)''')

# Commit the changes and close the connection
connection.commit()
connection.close()

This snippet demonstrates how to create a simple SQLite database and table using Python.

2. Inserting Data

Once your table is set up, you can insert data into it using SQL commands through Python.

• Example: Inserting Data

import sqlite3

connection =…