Fixed |link|: Sqlite3 Tutorial Query Python

rows = cursor.fetchall()

import sqlite3 def init_db(): with sqlite3.connect("production.db") as conn: cursor = conn.cursor() cursor.execute(""" CREATE TABLE IF NOT EXISTS products ( id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT NOT NULL, price REAL NOT NULL ) """) conn.commit() def insert_product(name, price): with sqlite3.connect("production.db") as conn: cursor = conn.cursor() # Secure parameterized insertion cursor.execute("INSERT INTO products (name, price) VALUES (?, ?)", (name, price)) conn.commit() return cursor.lastrowid def get_all_products(): with sqlite3.connect("production.db") as conn: conn.row_factory = sqlite3.Row # Access columns by name instead of index cursor = conn.cursor() cursor.execute("SELECT * FROM products") return cursor.fetchall() def update_product_price(product_id, new_price): with sqlite3.connect("production.db") as conn: cursor = conn.cursor() cursor.execute("UPDATE products SET price = ? WHERE id = ?", (new_price, product_id)) conn.commit() def delete_product(product_id): with sqlite3.connect("production.db") as conn: cursor = conn.cursor() cursor.execute("DELETE FROM products WHERE id = ?", (product_id,)) conn.commit() # Testing the ecosystem if __name__ == "__main__": init_db() product_id = insert_product("Wireless Mouse", 29.99) # Fetch and read data cleanly products = get_all_products() for row in products: print(f"Product: row['name'] | Price: $row['price']") Use code with caution. 6. Pro-Tip: Using conn.row_factory for Cleaner Code sqlite3 tutorial query python fixed

3. The Security Risk: Python String Formatting vs Parameterized Queries rows = cursor

import sqlite3 # 1. Connect (creates file if it doesn't exist) connection = sqlite3.connect('example.db') cursor = connection.cursor() # 2. Execute a standard SELECT query query = "SELECT * FROM users WHERE status = 'active'" cursor.execute(query) # 3. Fetch and print results rows = cursor.fetchall() for row in rows: print(row) # Results are returned as a list of tuples # 4. Cleanup connection.close() Use code with caution. Copied to clipboard Pro-Tip: Using conn

: Use cursor.execute() with a valid SQL SELECT string.

allowed_tables = ["users", "employees", "inventory"] target_table = "employees" if target_table in allowed_tables: # Safe to format because the input is strictly validated internally query = f"SELECT * FROM target_table WHERE status = ?" cursor.execute(query, ("active",)) else: raise ValueError("Unauthorized table access attempt.") Use code with caution. 5. The Concurrency Error: Database is Locked