Python and SQL are powerful tools for data analysts and data scientists. Combining them allows you to efficiently manage and manipulate data stored in relational databases. Here's a guide on how to use SQL and Python together.

Setting Up the Environment

First, you need to set up your Python environment and install the necessary libraries. For this tutorial, we'll use MySQL as the database management system and the mysql-connector-python library to connect Python with MySQL.

To install the MySQL Connector, use the following command:

Additionally, install the pandas library for data manipulation:

Connecting to MySQL Server

To connect to a MySQL server, you need to create a connection object. Here's a reusable function to establish a connection: