Step 1: import sqlite3
Step 2: Create variable to hold the database path
i.e. db_path = ‘E:\\demo_sector\\unit_converter.db’
When working with Windows use double backslashes \\ instead of the usual single backslash.\
This is to avoid having the backslash act as an escape character.
Step 3: Create your database connection, connecting the sqlite module to your database.
i.e. database_connection = sqlite.connect(db_path)
Step 4: Set up your database cursor,
i.e. database_cursor = database_connection.cursor(()
This acts similar to the cursor we know from text editors
Step 5: Execute the SQL code you need to get the outputs you require
i.e. database_cursor.execute(‘SELECT * FROM [conversion_factors];’)
Step 6: Create variable to hold the data returned by the database
i.e. found_data = database_cursor.fetchall()
The data returned by the database is a list of tuples.
i.e. [('1', 'length', 'kilometre', 'km', 'kilometre', 'km', 1.0), ('2', 'length', 'metre', 'm', 'kilometre', 'km', 0.001), …]
Each tuple denotes a row of data.
To access any tuple or element in a tuple, use the indices of the found set
i.e. to get the 7th element of each tuple:
for i in range(len(found_data)):
print(found_data[i][6])
#python #sqlite #programming #coding #databases #sql
Sur cette page du site, vous pouvez voir la vidéo en ligne Call SQLite Databases with Python | Python Bits | Kovolff durée heure minute seconde en bonne qualité , qui a été Téléchargé par l'utilisateur kovolff 27 novembre 2020, Partagez le lien avec vos amis et connaissances, sur youtube cette vidéo a déjà été regardée 82 fois et il a aimé 0 téléspectateurs. Bon visionnage!