SQLite is a self-contained, serverless, and zero-configuration database engine. It’s one of the most widely deployed database engines in the world and is used in a broad range of applications. Python has built-in support for SQLite in the sqlite3 module in its standard library.

Here’s a basic example of how to use SQLite in Python:

1. Import the module:

2. Connect to the SQLite database. If the database does not exist, SQLite will create it:

3. Create a Cursor object. You’ll use this object to execute all your SQL commands:

4. Execute a SQL command. In this case, let’s create a table:

5. Insert a row of data:

6. Save (commit) the changes:

7. Close the connection. If you’ve made any changes to the database that haven’t been committed yet, this will automatically commit them before closing:

To retrieve data, you’d use a SELECT statement:

This will print all rows where the last name is ‘Doe’.

This is a basic introduction to using SQLite in Python. Depending on your needs, you might also want to look into using parameterized queries (to prevent SQL injection attacks), using cursor.fetchone() or cursor.fetchmany(n) instead of cursor.fetchall(), and handling transactions explicitly.