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  1. Psycopg2, SQLite3, and SQLAlchemy

    These libraries, such as psycopg2, SQLite3, and SQLAlchemy, enable developers to write SQL queries and interact with databases directly within their Python code.

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    These libraries, such as psycopg2, SQLite3, and SQLAlchemy, enable developers to write SQL queries and interact with databases directly within their Python code.
    SQL Easy
  1. 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
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    • Connect to the database (this will create a new file if it doesn’t exist):

    connection = sqlite3.connect('example.db')
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    • Create a cursor object to interact with the database:

    cursor = connection.cursor()
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    • Execute an SQL query:

    cursor.execute('CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT, age INTEGER)')
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    • Insert data:

    cursor.execute("INSERT INTO users (name, age) VALUES ('John Doe', 30)")
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    • Commit the changes and close the connection:

    connection.commit()
    connection.close()
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    Using SQLAlchemy Library

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  2. How to Use SQL in Python: A Comprehensive Guide

    2023年6月28日 · To harness the power of SQL in Python, various libraries have been developed to help bridge the gap between the two languages. These libraries, such as psycopg2, SQLite3, and …

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  4. Querying Databases with SQL and Python – Dataquest

    In this tutorial, we'll explore how to query SQL databases directly from Python. Whether you're just starting out in data analysis or you're a seasoned professional looking to expand your toolkit, you'll find practical tips and insights to enhance …