MySQL Tutorial · Data Science

MySQL with Pandas: Analyze Database Data in Python

pandas.read_sql turns any MySQL query into a DataFrame in one line — the doorway between database storage and Python's entire analytics ecosystem.

Key Points

Create an engine: create_engine('mysql+pymysql://user:pass@host/db')
Load data: df = pd.read_sql('SELECT * FROM sales WHERE year=2026', engine)
Let SQL do heavy filtering/aggregation; let pandas do statistics and reshaping
Write results back: df.to_sql('summary', engine, if_exists='replace')
Use chunksize for tables too big for memory
From DataFrame, plotting with matplotlib/seaborn is one step away

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