Python Database Tutorials

Learn how to work with data in Python using SQL, NoSQL, and vector databases. On this page you’ll find guides that show how to connect, query, and model data for real-world practical projects. Use these tutorials to build data intensive apps, automate analytics, and level up your understanding of transactions, indexing, and performance.

Free Bonus: Click here to download a Python + MongoDB project skeleton with full source code that shows you how to access MongoDB from Python.

Explore practical tutorials for SQLite, PostgreSQL, MySQL, and DuckDB, document stores like MongoDB, and vector databases like ChromaDB. Compare raw SQL with Python ORMs such as SQLAlchemy and Django ORM. See how to run migrations, write safe queries, and integrate databases with FastAPI, Flask, and pandas.

Browse all resources below, or commit to a guided Learning Path with progress tracking: