Connect Python to MySQL Using SQLAlchemy & Pandas (Insert, Select, Upsert)
In this tutorial, I’ll show you how to connect Python to MySQL step by step using SQLAlchemy and Pandas.
Code : https://www.kaggle.com/code/krpurba/c...
This video assumes you already have MySQL installed locally (e.g. via XAMPP) or accessible on a remote server. We’ll start from an empty database and cover everything from building the connection to inserting and querying data efficiently.
What you’ll learn in this video:
How to connect Python to MySQL using SQLAlchemy
Setting up database credentials (host, port, user, password)
Creating tables using Python
Running SQL queries safely
Inserting Pandas DataFrames into MySQL
Handling duplicate keys
`INSERT IGNORE`
`ON DUPLICATE KEY UPDATE`
Using cached database connections for better performance
Selecting data from MySQL into Pandas DataFrames
Preventing SQL injection using bind parameters
All helper functions shown here are reusable and designed for real-world projects.
If you work with data analytics, automation, or backend systems, this workflow will save you a lot of time.
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