When automating QA tasks with Python, you often need to represent, store, and organize test case data efficiently. Python's built-in data structures—lists, dictionaries, and tuples—are especially useful for this purpose. A list can be used to hold a collection of test cases, where each test case is typically represented as a dictionary containing named fields such as "id", "input", "expected", and "actual". This approach allows you to group all relevant information for each test case together, making it easy to access, update, and iterate over your test suite. Sometimes, you might use a tuple to store input parameters or expected outputs that should not be changed during execution, as tuples are immutable.

To work with these data structures, you need to know how to access and modify the information they contain. You can access a specific test case by its index in the list, such as test_cases[0] for the first test case. To retrieve a particular field, use the field name as a key in the dictionary, for example, test_cases[0]['input'] to get the input value of the first test case. If you want to update the result of a test case after running it, you simply assign a new value to the relevant field. For instance, you can set the "actual" field to the observed result after executing the test. This method ensures your test data remains organized and up-to-date as you automate your QA processes.