Learn to master MySQL connector, a Python library that enables to interact with 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 are already immersed in the world of data science, you have likely realized that Python is indispensable for any data scientist, thanks to its extensive ecosystem of libraries for tasks, such as data manipulation, data visualization, and modelling.
While Python shines in its ability to handle complex data processes with few lines of code, SQL remains unmatched when efficiently managing structured data, executing queries, and performing operations for reading and modifying data.
In this article, I will show a practical use 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?
- Setting up MySQL
- Start to play with MySQL Workbench
- Connect Python to MySQL Database
- Common SQL Operations using Python
