Python Unit Testing

In this section, you’ll learn about unit testing in Python by using the unittest modules to make your code more robust.

What you’ll learn: #

Write effective test cases using the unittest module
Run unit tests fast
Skip tests unconditionally and conditionally
Using test doubles including mocks, stubs, and fakes
Parameterize tests
Generate test coverage reports

Section 1. Introduction to unit testing in Python #

This section introduces you to the unit testing and the unittest module. After completing this section, you’ll know how to define and execute unit tests effectively.

What is unit testing – introduce you to the unittest testing and how to use the unittest module to perform unit tests.
Test fixtures – learn how to use test fixtures including setUp() and tearDown() to carry out the steps before and after test methods.
Skipping tests – guide you on how to skip a test method or test class.
Running unittest – show you various commands to run unit tests.

Section 2. assert methods #

This section covers the assert methods so that you know how to each of them more effectively.

assert methods – introduce to you a brief overview of the assert methods of the TestCase class.
assertEqual() – test if two values are equal.
assertAlmostEqual() – test if two values are approximately equal.
assertIs() – test if two objects are the same.
assertIsInstance() – test if an object is an instance of a class or a tuple of classes.
assertIsNone() – test if an expression is None.
assertTrue() – test if an expression is True.
assertIn() – test if a member is in a container.

Section 3. Test doubles #

This section introduces to you the test doubles to decouple the system under test code from the rest of the system so that code can be tested in isolation.

Mock – learn how to use the Mock class to mimic behaviors of another function or class.