Sqlite3 Tutorial Query - Python Fixed

# INSERT cursor.execute('INSERT INTO characters (name, health) VALUES ("Newbie", 50)') conn.commit()

conn = sqlite3.connect('adventure.db') cursor = conn.cursor() As Pythonia ventured deeper into the forest, she encountered a wise old sage who taught her the ancient incantation of SELECT .

# INSERT some data (optional) cursor.execute('INSERT INTO characters (name, health) VALUES ("Pythonia", 100)') cursor.execute('INSERT INTO inventory (item, quantity) VALUES ("sword", 1)')

# Create a connection to the database conn = sqlite3.connect('adventure.db') cursor = conn.cursor() sqlite3 tutorial query python fixed

# Close the connection conn.close()

cursor.execute('DELETE FROM characters WHERE name = "Rogue"') conn.commit() The rogue entity was vanquished, and the data was safely deleted from the characters table. As Pythonia concluded her quest, she closed the connection to the database, ensuring that her changes were saved.

cursor.execute('INSERT INTO characters (name, health) VALUES ("Newbie", 50)') conn.commit() The imp was pleased, and a new character was added to the characters table. The INSERT statement had created a new row with the specified values. In the dark lands of Data, a rogue entity threatened to destroy valuable data. Pythonia confronted the menace, armed with the DELETE statement. # INSERT cursor

cursor.execute('SELECT * FROM inventory WHERE quantity > 0') rows = cursor.fetchall() for row in rows: print(row) The wise old sage appeared once more, explaining that the WHERE clause was used to filter data based on conditions. In this case, Pythonia was retrieving only the rows where the quantity column was greater than 0. A fierce dragon, known as the UPDATE beast, guarded the treasure of modified data. Pythonia, armed with her trusty UPDATE statement, charged into battle.

# COMMIT changes conn.commit()

cursor.execute(''' CREATE TABLE IF NOT EXISTS inventory ( item TEXT, quantity INTEGER ) ''') cursor

cursor.execute('SELECT * FROM inventory WHERE quantity > 0') rows = cursor.fetchall() for row in rows: print(row)

import sqlite3

import sqlite3 She then created a connection to a mystical database, hidden deep within the forest of Data.