Entry icursor2/2/2024 SQLite is a self-contained, file-based SQL database. SQLite comes bundled with Python and can be used in any of your Python applications without having to install any additional software. #Python entry icursor not working install In this tutorial, we’ll go through the sqlite3 module in Python 3. We’ll create a connection to a SQLite database, add a table to that database, insert data into that table, and read and modify data in that table.įor this tutorial, we’ll be working primarily with an inventory of fish that we need to modify as fish are added to or removed from a fictional aquarium. Step 1 - Creating a Connection to a SQLite Database You can review these tutorials for the necessary background information: To get the most out of this tutorial, it is recommended to have some familiarity with programming in Python and some basic background with SQL. When we connect to a SQLite database, we are accessing data that ultimately resides in a file on our computer. SQLite databases are fully featured SQL engines that can be used for many purposes. For now, we’ll consider a database that tracks the inventory of fish at a fictional aquarium. We can connect to a SQLite database using the Python sqlite3 module: import sqlite3Ĭonnection = sqlite3. Import sqlite3 gives our Python program access to the sqlite3 module. The nnect() function returns a Connection object that we will use to interact with the SQLite database held in the file aquarium.db. The aquarium.db file is created automatically by nnect() if aquarium.db does not already exist on our computer. If we run this Python code, we will see output like: We can verify we successfully created our connection object by running: print (connection. The fish table will track a value for name, species, and tank_number for each fish at the aquarium. Two example fish rows are listed: one row for a shark named Sammy, and one row for a cuttlefish named Jamie. We can create this fish table in SQLite using the connection we made in Step 1: cursor = connection. execute ( "CREATE TABLE fish (name TEXT, species TEXT, tank_number INTEGER)" )Ĭonnection.cursor() returns a Cursor object. Cursor objects allow us to send SQL statements to a SQLite database using cursor.execute(). " string is a SQL statement that creates a table named fish with the three columns described earlier: name of type TEXT, species of type TEXT, and tank_number of type INTEGER. Now that we have created a table, we can insert rows of data into it: cursor. execute ( "INSERT INTO fish VALUES ('Jamie', 'cuttlefish', 7)" ) execute ( "INSERT INTO fish VALUES ('Sammy', 'shark', 1)" )Ĭursor. We call cursor.execute() two times: once to insert a row for the shark Sammy in tank 1, and once to insert a row for the cuttlefish Jamie in tank 7. " is a SQL statement that allows us to add rows to a table. Step 3 - Reading Data from the SQLite Database In the next section, we will use a SQL SELECT statement to inspect the rows we just inserted into our fish table. In Step 2, we added two rows to a SQLite table named fish. We can retrieve those rows using a SELECT SQL statement: rows = cursor. #Python entry icursor not working install.
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