- ✕この概要は、複数のオンライン ソースに基づいて AI を使用して生成されました。元のソース情報を表示するには、[詳細情報] リンクを使用します。
Combining SQL with Python allows developers to manage and analyze data efficiently. Python provides several libraries to interact with SQL databases, such as sqlite3, SQLAlchemy, and psycopg2. Here’s a guide on how to execute SQL queries from Python.
Using sqlite3 Library
The sqlite3 library is included with Python and provides an easy way to interact with SQLite databases. Here’s a simple example to get started:
Import the sqlite3 library:
import sqlite3コピーしました。✕コピーConnect to the database (this will create a new file if it doesn’t exist):
connection = sqlite3.connect('example.db')コピーしました。✕コピーCreate a cursor object to interact with the database:
cursor = connection.cursor()コピーしました。✕コピーExecute an SQL query:
cursor.execute('CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT, age INTEGER)')コピーしました。✕コピーInsert data:
cursor.execute("INSERT INTO users (name, age) VALUES ('John Doe', 30)")コピーしました。✕コピーCommit the changes and close the connection:
connection.commit()connection.close()コピーしました。✕コピーUsing SQLAlchemy Library
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