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def dict_factory(cursor, row): return col[0]: row[idx] for idx, col in enumerate(cursor.description)
INSERT INTO users (name, email) VALUES ('John Doe', 'john@example.com'); INSERT INTO users (name, email) VALUES ('Jane Doe', 'jane@example.com'); sqlite3 tutorial query python fixed
Run this script. It will create tasks.db , persist data, and handle queries safely. row): return col[0]: row[idx] for idx
SQLite3 in Python before any DDL or DML statement that modifies data (INSERT, UPDATE, DELETE, CREATE, etc.). The transaction remains open until you call commit() or rollback() . If you close the connection without committing, all changes are lost. email) VALUES ('John Doe'
Alternatively, use conn.row_factory = sqlite3.Row for a more memory-efficient version.
To help optimize this setup for your specific project, tell me: