# Create a session Session = sessionmaker(bind =engine) # Create an SQLite database engine = create_engine( "sqlite:///example.db") _tablename_ = "users" id = Column(Integer, primary_key = True) # Define the model Base = declarative_base() It can be installed using pip.įrom sqlalchemy import create_engine, Column, Integer, Stringįrom import declarative_base Sqlite-utils is a Python library that provides additional functionalities for SQLite. Use a Third-Party Library ( sqlite-utils) to Use Sqlite3 in Python It’s important to always close the connection when you’re done to avoid potential issues. Without this, the changes will not be saved.įinally, the conn.close() closes the connection to the database. The mit() commits the changes to the database. In this example, we create a table named users with columns id, name, and age. Next, the cursor.execute(.) method is used to execute SQL commands. A cursor is required to execute SQL commands on the database. If 'example.db' does not exist, it will be created, but if it does exist, a connection to the existing database will be established.Ĭonn.cursor() creates a cursor object. Then, nnect('example.db') creates a connection to the SQLite database. The import sqlite3 line imports the sqlite3 module, allowing us to use its functions to interact with SQLite databases. # Commit the changes and close the connection conn. (id INTEGER PRIMARY KEY, name TEXT, age INTEGER)""" ) # Execute a simple SQL command to create a table cursor. # Create a cursor object to execute SQL queries cursor = conn. Import sqlite3 # Create a connection to a SQLite database (this will create a new one if it doesn't exist) conn = sqlite3.
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