With mock objects, we can simulate database operations without actually connecting to a real database.
This means we don’t need to prepare a dedicated test database or worry about cleaning it up after tests.

After covering the basic tools, this article demonstrates how to use mocks effectively in Pytest.
Mocks allow us to replace the logic of real functions to simulate different scenarios and write more precise unit tests.
We’ll walk through examples of mocking functions, simulating errors, and even handling external dependencies like Redis.

Writing unit tests is a well-known best practice in software development, but actually getting started often feels overwhelming.
Where do you begin? What tools should you use? And how do you use them?
For beginners, these first steps can easily become roadblocks.