Learn to master the MySQL connector, a Python library that allows you to interact with the MYSQL database
In my recent work experience, I have discovered the remarkable synergy between two essential data management and analysis tools: Python and SQL.
If you're already immersed in the world of data science, you've probably realized that Python is a must-have for any data scientist, thanks to its vast ecosystem of libraries for tasks like data manipulation, data visualization, and modeling.
While Python shines for its ability to handle complex data processes with just a few lines of code, SQL remains unmatched when it comes to efficiently managing structured data, executing queries, and performing operations to read and modify data.
In this article, I will show a practical case that highlights the benefits of integrating Python and SQL to work with MySQL data. Let's get started!
Table of Contents:
- What is a relational database?
- MySQL Configuration
- Start playing with MySQL Workbench
- Connect Python to MySQL Database
- Common SQL Operations with Python
