Sqlite3 Tutorial Query - Python Fixed

cursor.execute('SELECT * FROM characters') rows = cursor.fetchall() for row in rows: print(row) The sage revealed to Pythonia that the SELECT statement was used to retrieve data from the characters table. The * symbol was a wildcard that fetched all columns, while FROM characters specified the table to query. As Pythonia explored the land, she stumbled upon a hidden cave containing a mysterious table, inventory . However, the data within seemed to be shrouded in mystery.

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 . sqlite3 tutorial query python fixed

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. cursor

cursor.execute('UPDATE characters SET health = 100 WHERE name = "Pythonia"') conn.commit() The dragon was vanquished, and Pythonia's health was restored to its former glory. The UPDATE statement had modified the health column for the row where name was "Pythonia". As Pythonia approached the enchanted forest of new data, she encountered a mischievous imp who required her to cast the INSERT spell. However, the data within seemed to be shrouded in mystery

# Close the connection conn.close()

conn.close() The people of Codearia celebrated Pythonia's mastery of SQLite3, and her legendary adventures were etched into the annals of database history. For those who wish to relive Pythonia's adventures, here is the complete code:

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