In this tutorial, you will learn how to use the SQLite database management system with Python. We will explore how to perform SQL operations such as CREATE, INSERT, UPDATE, and DELETE, among other essential tasks. If you have basic knowledge of SQL commands, you'll be ready to manipulate data efficiently and integrate it into your software or applications.

Installing and setting up SQLite in Python

The good news is that you don't need to install any additional libraries to use SQLite with Python. It comes included with Python, ready to use.

Simply import the sqlite3 module into your script:

import sqlite3

With this, you can start interacting with SQLite databases in your projects.

Connecting python to SQLite

Let's create a new Python script to establish a connection with an SQLite database. The connection is made using the connect method from the sqlite3 module. For this example, we will create a simple database called bookstore.db, representing a bookstore.

Code example

# Importing SQLite
import sqlite3 as lite

# Creating a connection to the database
con = lite.connect('bookstore.db')

What do these lines of code do?

  1. Importing the SQLite Module:

    import sqlite3 as lite

    Here, we import the sqlite3 module and alias it as lite for easier use in the code.

  2. Creating the Connection:

    con = lite.connect('bookstore.db')

    This command attempts to connect to the bookstore.db database. If the database file does not exist, it will be created automatically. If it already exists, the script will simply establish a connection to it.

If no error messages are displayed, it means the connection was successfully created.

The next step

Now that we have our connection set up, we are ready to work with basic SQL operations:

  • CREATE: Create tables and structures in the database.

  • INSERT: Insert data into the tables.

  • UPDATE: Update existing records.

  • DELETE: Remove records from the database.

In the next tutorial, we will create a simple table for our bookstore and insert some data to illustrate the process.


Stay tuned for the next part of this series to master using SQLite with Python in a practical and straightforward way!