<ul><li>Different types of tests form a pyramid structure from unit tests, integration tests, to end-to-end tests.</li><li>Unit tests focus on testing a single unit of code and are fast and automatable.</li><li>Integration tests check how different code units interact with each other and ensure subsystems work together.</li><li>Functional tests verify if the application's functionality aligns with the specifications.</li><li>End-to-end tests simulate real-world scenarios and cover a wide range of application flows.</li><li>Using frameworks like Pytest simplifies comprehensive testing processes and provides detailed feedback on test results.</li><li>Fixtures in Pytest help set up a consistent environment for testing with the same context or dataset.</li><li>Mocking with Pytest allows simulating the behavior of functions or classes, ensuring tests are independent and reliable.</li><li>Managing test directories and analyzing test coverage are essential practices for effective testing.</li><li>Balanced testing strategies involving unit, integration, functional, and end-to-end tests are crucial for ensuring software quality and reliability.</li></ul>

Data Science: From School to Work, Part IV

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