Python & DB

Saurabh Sharma

SQLite3 is a lightweight and easy-to-use database engine that is included with Python. It’s perfect for smaller-scale applications, prototyping, or standalone systems. Python’s sqlite3 module allows seamless integration with SQLite databases.

Here’s a comprehensive guide on using Python 3 with SQLite3.

Step 1: Importing the sqlite3 Module

Start by importing the sqlite3 module in your Python script:

Step 2: Connecting to a Database

To use an SQLite database, establish a connection using sqlite3.connect():

Step 3: Creating a Cursor Object

Create a cursor object to interact with the database:

Step 4: Creating a Table

Use the cursor to execute SQL queries. For instance, to create a ‘users’ table:

Step 5: Inserting Data

Insert data into the table using the execute() method:

Step 6: Committing Changes

Save the changes made to the database:

Step 7: Retrieving Data

Retrieve data from the table using SQL queries:

Step 8: Closing the Connection

Close the connection to the database when finished:


Python’s integration with SQLite3 makes it effortless to create, manipulate, and manage databases within your Python scripts. SQLite3’s simplicity and Python’s versatility make it an ideal choice for small to medium-scale projects or standalone systems where a lightweight, file-based database is sufficient.