Pandas and SQL Integration
pd.read_sql(), df.to_sql(), SQLAlchemy engine, querying database results directly into DataFrames.
Pandas Meets SQL
You do not have to choose between SQL and pandas — they work together. Query a database into a DataFrame, transform with pandas, and write results back.
The glue is SQLAlchemy plus the pandas functions read_sql and to_sql.
Why SQLAlchemy?
pandas talks to databases through a connection or a SQLAlchemy engine. The engine abstracts the database type, so the same code works for SQLite, PostgreSQL, MySQL, and more — just change the URL.
All lessons in this course
- SQLite with Python's sqlite3 Module
- Pandas and SQL Integration
- Storing and Querying ML Results
- Introduction to Vector Databases