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Working with SQL Databases in Python

Python SQL databases power millions of real-world applications—from web backends to data pipelines to machine learning workflows. Whether you're persisting user data, running analytics queries, or managing financial records, SQL databases are a fundamental skill that separates beginners from professional developers.

This series teaches you everything you need to connect to, query, and manage SQL databases using Python. You'll learn SQLite3 for rapid local development, PostgreSQL for production systems, how to write secure parameterized queries that prevent SQL injection attacks, and advanced patterns like connection pooling and transaction management. Each tutorial includes working code examples and real-world patterns you can use immediately.

By the end of this series, you'll be able to design database-backed Python applications, handle errors gracefully, and build systems that scale from a single user to thousands of concurrent connections.

Articles in this series​

  1. Python SQL Databases: Getting Started
  2. SQLite3 in Python: Tutorial & Examples
  3. PostgreSQL Python: Connect & Query
  4. Python Database Connections: Setup
  5. SQL Injection Prevention in Python
  6. Cursor Objects in Python: Fetch Data
  7. Database Transactions in Python
  8. Connection Pooling in Python Databases
  9. Python Database Error Handling
  10. Python Database Patterns for Production