Working with SQLite3 in Python

Introduction

SQLite3 is a built-in module in Python that provides an interface for interacting with SQLite databases. SQLite is a lightweight, serverless, self-contained, transactional SQL database engine that stores data in a single file on disk or in memory. It is commonly used for small to medium-sized applications, such as mobile apps, desktop applications, and prototyping. In this article, we’ll cover how to use the sqlite3 module in Python and provide a comprehensive example to demonstrate its functionality.

Getting Started with SQLite3

Importing the module:

First, you need to import the sqlite3 module in your Python script.

import sqlite3

Connecting to a database:

To interact with an SQLite database, you need to create a connection to the database file. If the file doesn’t exist, SQLite will create it automatically.

conn = sqlite3.connect('example.db')

If you want to create an in-memory database, use ‘:memory:’ instead of a file name.

conn = sqlite3.connect(':memory:')

Creating a cursor object:

A cursor object is used to interact with the database. It allows you to execute SQL queries and fetch results.

cursor = conn.cursor()

Executing SQL queries: