github.com/ranaroussi/yfinance (Script generates .db ) For stock market analysis.
import sqlite3 # Link directly to your local starter pack file connection = sqlite3.connect('data/chinook.db') cursor = connection.cursor() # Run a sample query cursor.execute("SELECT Name FROM artists LIMIT 5;") print(cursor.fetchall()) connection.close() Use code with caution. javascript
One of the biggest friction points when building a new app or dashboard is . You know how to write the queries, you’ve set up the schema, but the database is empty. Staring at an empty SELECT * FROM users result set isn't exactly inspiring. sqlite data starter packs link
github.com/ivanceras/sakila-sqlite3 From the MySQL world to your phone.
A powerful universal database tool for advanced developers. github
This resource is maintained by the Public Affairs Data Journalism at Stanford and provides several public datasets pre-packaged as SQLite databases for practice without the need for manual data cleaning . Available Datasets in the Pack The collection includes a variety of real-world data files:
Run the VACUUM; and ANALYZE; commands in SQLite to compress the file size and optimize query plans before distribution. You know how to write the queries, you’ve
To start querying the data in these packs, you will need an SQLite client to open the files:
An open-source, intuitive visual tool. DBeaver: A powerful multi-database universal client.