Mastering Data Manipulation Language (DML) Commands with SQLite3 in Python
Introduction
Data Manipulation Language (DML) commands are essential for interacting with data stored in databases. These commands allow you to retrieve, insert, update, and delete data, making them fundamental tools for anyone working with databases. In this guide, we’ll explore DML commands using SQLite3 in Python, providing detailed explanations and examples for each command.
Setting Up SQLite3 in Python
Installing SQLite3
SQLite3 is a lightweight, disk-based database that doesn’t require a separate server process and allows access to the database using a nonstandard variant of the SQL query language. It is included with Python’s standard library, so no separate installation is required. You can simply import the module:
import sqlite3Connecting to the Database
To interact with an SQLite database, you need to establish a connection using the connect function and create a cursor object for executing SQL commands. In this example, we will use the Chinook database, a sample database that represents a digital media store. It includes tables for artists, albums, media tracks, invoices, and customers.
