MySQL is a Relational Database Management System (RDBMS) whereas the structured Query Language (SQL) is the language used for handling the RDBMS using commands i.e Creating, Inserting, Updating and Deleting the data from the databases. SQL commands are case insensitive i.e CREATE and create signify the same command.

In this article, we will be discussing the MySQL Connector module of Python, how to install this module and a piece of code on how to connect this with the MySQL database. For any application, it is very important to store the database on a server for easy data access.

MySQL Connector/Python is a Python module that allows programmers to connect their Python programs to MySQL databases, enabling them to access and manipulate data stored within those databases. The module provides a Python interface to the MySQL database management system, allowing Python developers to execute SQL queries, manage database connections, and perform other database-related tasks.

MySQL Connector/Python is an open-source software that is distributed under the GPL license. It is compatible with Python 2.7 and Python 3.x and works with MySQL versions 5.5 and higher. The module is available for download from the MySQL website and can be installed using the pip package manager.

The module provides a simple and easy-to-use API for connecting to MySQL databases. It supports multiple database connections, allowing programmers to manage multiple databases within a single program. The module also provides support for transaction management, allowing programmers to execute multiple SQL queries as a single transaction.

In addition to basic database operations, MySQL Connector/Python also provides advanced functionality such as prepared statements, parameterized queries, and data streaming. These features can help improve the performance of database operations and make database-related programming tasks easier and more efficient.

Overall, MySQL Connector/Python is a valuable tool for Python programmers who need to work with MySQL databases, providing a convenient and powerful way to manage and manipulate data stored within those databases.