Foundations of Python Testing: pytest and unittest

Even the best developers write bugs, but automated testing prevents small mistakes from turning into costly production failures. Writing tests ensures your application behaves exactly as expected, saving you time and protecting your code from unexpected regressions. This text-based course guides you from manual debugging to writing professional, automated test suites in Python. You will learn how to structure tests, mock external dependencies, and validate both application logic and data processing pipelines. By reading through practical code examples and conceptual breakdowns, you will build the confidence to write robust, self-testing Python applications. What you'll learn: - Learn the foundational concepts of software testing, including unit, integration, and functional testing. - Write clean and structured test cases using Python's built-in unittest framework. - Leverage pytest to write concise, highly readable tests with basic parameterization. - Manage test setup and teardown efficiently using modern pytest fixtures. - Isolate code under test by applying basic mocking and patching techniques. - Apply testing best practices to catch edge cases, null values, and data pipeline errors before deployment. You will start with core testing terminology and basic assertions before progressing to structured test suites and advanced pytest features. Designed for beginner Python developers and data professionals looking to write reliable, production-ready code, this course requires no prior testing experience. Start writing safer, cleaner Python code today.