Python SQLite

Last Updated : 09 Aug, 2024

Python SQLite3 module is used to integrate the SQLite database with Python. It is a standardized Python DBI API 2.0 and provides a straightforward and simple-to-use interface for interacting with SQLite databases. There is no need to install this module separately as it comes along with Python after the 2.5x version.

Python SQLite tutorial

This Python SQLite tutorial will help to learn how to use SQLite3 with Python from basics to advance with the help of good and well-explained examples and also contains Exercises for honing your skills.

Introduction

SQLite Queries

Working with Tables

Working with Images

Exercises

Python SQLite – FAQs

Can You Use SQLite with Python?

Yes, you can use SQLite with Python. Python comes with built-in support for SQLite through the sqlite3 module, which allows you to interact with an SQLite database directly from Python code. This makes it an excellent choice for applications that require a lightweight database without the overhead of a full database management system.

How to Use pysqlite?

pysqlite is an external library in Python that provides SQLite database access. It was the original interface to the SQLite relational database management system before it became integrated into Python’s standard library as sqlite3. Since Python 2.5 and above, sqlite3 is included in Python’s standard library, which essentially provides the same functionalities as pysqlite. If you are using Python 2.5 or later, it is recommended to use sqlite3 instead. Here’s a basic example of using sqlite3:
import sqlite3

# Connect to an SQLite database (or create it if it doesn't exist)
conn = sqlite3.connect('example.db')

# Create a cursor object using the cursor() method
cursor = conn.cursor()

# Create table
cursor.execute('''CREATE TABLE IF NOT EXISTS stocks
             (date text, trans text, symbol text, qty real, price real)''')

# Insert a row of data
cursor.execute("INSERT INTO stocks VALUES ('2006-01-05','BUY','RHAT',100,35.14)")

# Save (commit) the changes
conn.commit()

# Close the connection
conn.close()

What is the Purpose of the Python SQLite Connector?

The purpose of the Python SQLite connector, implemented as the sqlite3 module, is to provide a lightweight disk-based database that doesn’t require a separate server process. It allows Python applications to access SQLite databases in a straightforward way. It’s used to execute SQL commands and queries, handle databases, and perform other database management tasks.

What is the Difference Between SQLite and MySQL?

SQLite:

SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine.

It is embedded into the end program. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

It is used predominantly for applications that need a lightweight database without the need for a network-accessible database management system.

MySQL:

MySQL is a full-featured relational database management system (RDBMS) that supports a wide array of features and extensive customization.

It operates as a server providing multi-user access to a number of databases.

Suitable for large scale applications and websites that need to handle large volumes of data and high user loads.

Is sqlite3 Part of Python?

Yes, sqlite3 is part of Python’s standard library for versions 2.5 and later. It provides an SQL interface compliant with the DB-API 2.0 specification described by PEP 249. This means you don’t need to install anything extra if you’re using these versions of Python; you can start using SQLite databases in your applications right away.