import sqlite3
For highly specific verticals (e.g., "US Property Tax Records" or "Global Flight Schedules"), sites like Kaggle Datasets often provide CSV exports that you can .import into SQLite. (Note: You'll need to write the CREATE TABLE statements manually).
INSERT INTO orders (user_id, product_id, quantity) VALUES (1, 1, 2), -- Alice bought 2 mice (2, 2, 1), -- Bob bought 1 keyboard (3, 3, 5), -- Charlie bought 5 cables (1, 4, 1); -- Alice bought 1 stand
Websites like sqlitetutorial.net and www.sqlite.org offer "Chinook" and "Northwind" as free downloads. While old, they are still excellent starter packs for CRUD practice.
master = sqlite3.connect('master_starter.db')
master.execute(""" CREATE TABLE enriched_customers AS SELECT c.*, g.city_id, g.latitude, g.longitude FROM ecomm.customers c LEFT JOIN geo.world_cities g ON c.city_name = g.name """)
CREATE TABLE orders ( id INTEGER PRIMARY KEY, user_id INTEGER, product_id INTEGER, quantity INTEGER, order_date TEXT DEFAULT (date('now')), FOREIGN KEY (user_id) REFERENCES users(id), FOREIGN KEY (product_id) REFERENCES products(id) );
If you are learning SQL, trying to GROUP BY a table with three rows is meaningless. Starter packs provide enough data to understand aggregates, subqueries, and window functions in a meaningful context.
Here are some best practices to keep in mind when working with SQLite data starter packs:
import sqlite3
For highly specific verticals (e.g., "US Property Tax Records" or "Global Flight Schedules"), sites like Kaggle Datasets often provide CSV exports that you can .import into SQLite. (Note: You'll need to write the CREATE TABLE statements manually).
INSERT INTO orders (user_id, product_id, quantity) VALUES (1, 1, 2), -- Alice bought 2 mice (2, 2, 1), -- Bob bought 1 keyboard (3, 3, 5), -- Charlie bought 5 cables (1, 4, 1); -- Alice bought 1 stand sqlite data starter packs
Websites like sqlitetutorial.net and www.sqlite.org offer "Chinook" and "Northwind" as free downloads. While old, they are still excellent starter packs for CRUD practice.
master = sqlite3.connect('master_starter.db') import sqlite3
For highly specific verticals (e
master.execute(""" CREATE TABLE enriched_customers AS SELECT c.*, g.city_id, g.latitude, g.longitude FROM ecomm.customers c LEFT JOIN geo.world_cities g ON c.city_name = g.name """)
CREATE TABLE orders ( id INTEGER PRIMARY KEY, user_id INTEGER, product_id INTEGER, quantity INTEGER, order_date TEXT DEFAULT (date('now')), FOREIGN KEY (user_id) REFERENCES users(id), FOREIGN KEY (product_id) REFERENCES products(id) ); While old, they are still excellent starter packs
If you are learning SQL, trying to GROUP BY a table with three rows is meaningless. Starter packs provide enough data to understand aggregates, subqueries, and window functions in a meaningful context.
Here are some best practices to keep in mind when working with SQLite data starter packs: