Integration Testing with Pytest and PostgreSQL in Python

Writing tests that interact with real databases is essential for ensuring data integrity, but running them can quickly slow down your development cycle. This text-only course teaches you how to design, manage, and selectively run database integration tests using pytest and PostgreSQL. You will learn how to isolate your test environments, handle database connections safely, and label test suites so you can run fast unit tests and heavier database tests independently. By completing this course, you will transform how you verify database operations, moving from slow, unpredictable test runs to a highly organized, targeted testing pipeline. What you'll learn: - Understand the core differences between unit tests and integration tests in database-driven applications - Configure pytest to safely connect to and clean up a PostgreSQL database using reusable fixtures - Apply custom pytest marks to label and group your database integration tests - Run targeted subsets of tests from the command line using filtering and expression flags - Implement modern database testing practices, including managing test transactions and mock data - Structure your Python repository to keep test configurations clean, readable, and easy to maintain This course begins with foundational concepts of database testing and connection lifecycles, then guides you step-by-step through setting up pytest configurations, writing database assertions, and mastering command-line execution strategies. This course is designed for beginner to intermediate Python developers who want to improve their testing practices. No advanced testing experience is required, though a basic understanding of Python and SQL will help you get the most out of the material. Start organizing your database tests and speed up your development workflow today.