Unit Testing with Python 3

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Emily Bache

2:49:21

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1. Course Overview

01. Course Overview.mp4

01:29

01. course overview.zip

2. Unit Test Fundamentals

01. What Is a Unit Test.mp4

02:47

01. what is a unit test.zip

02. First Example Unit Test.mp4

03:52

02. first example unit test.zip

03. Explanation of 'Test Case' and 'Test Runner'.mp4

03:56

03. explanation of 'test case' and 'test runner'.zip

04. Exception Checking with assertRaises & Explaination of 'Test Suite'.mp4

01:44

04. exception checking with assertraises & explaination of 'test suite'.zip

05. Skipping a Test Case & Explanation of 'Test Fixture'.mp4

04:35

05. skipping a test case & explanation of 'test fixture'.zip

06. Vocabulary Summary.mp4

00:58

06. vocabulary summary.zip

07. Example of Poor Unit Test Design.mp4

04:37

07. example of poor unit test design.zip

08. Better Design with Arrange-Act-Assert.mp4

02:45

08. better design with arrange-act-assert.zip

09. Detailed Design of Arrange-Act-Assert Test Parts.mp4

03:12

09. detailed design of arrange-act-assert test parts.zip

10. Module Summary.mp4

00:53

10. module summary.zip

3. Unit Testing Why and When

01. Introducing the Module Topics - Why and When.mp4

01:23

01. introducing the module topics - why and when.zip

02. Unit Testing Helps You to Understand What to Build.mp4

02:44

02. unit testing helps you to understand what to build.zip

03. Unit Testing Helps You to Document the Units.mp4

02:07

03. unit testing helps you to document the units.zip

04. Unit Testing Helps You with Design.mp4

04:12

04. unit testing helps you with design.zip

05. Unit Testing Helps You Detect Regression.mp4

02:54

05. unit testing helps you detect regression.zip

06. Limitations of Unit Testing.mp4

01:52

06. limitations of unit testing.zip

07. Unit Testing Is Part of Your Job.mp4

01:31

07. unit testing is part of your job.zip

08. Test-Last Process.mp4

01:45

08. test-last process.zip

09. Test-First Process.mp4

02:08

09. test-first process.zip

10. Test-Driven Development.mp4

02:02

10. test-driven development.zip

11. Automated Build Servers and Continuous Integration.mp4

03:41

11. automated build servers and continuous integration.zip

12. Module Summary.mp4

00:44

12. module summary.zip

4. Unit Testing with pytest

01. Introducing pytest - a Popular Alternative to unittest.mp4

02:32

01. introducing pytest - a popular alternative to unittest.zip

02. First Test Case and Failure Analysis.mp4

03:20

02. first test case and failure analysis.zip

03. Using PyCharm's Test Runner.mp4

01:47

03. using pycharm's test runner.zip

04. Additional Kinds of Assertion, Including assertRaises.mp4

02:38

04. additional kinds of assertion, including assertraises.zip

05. Introduction to Test Fixtures.mp4

02:36

05. introduction to test fixtures.zip

06. Cleaning up Fixture Resources, Chaining Fixtures.mp4

03:45

06. cleaning up fixture resources, chaining fixtures.zip

07. Organzing Test Code for Larger Programs.mp4

03:36

07. organzing test code for larger programs.zip

08. Using Markers to Control Which Tests Are Run.mp4

04:06

08. using markers to control which tests are run.zip

09. Using an HTML Report Plugin & Module Summary.mp4

01:31

09. using an html report plugin & module summary.zip

5. Testable Documentation with doctest

01. Introducing doctest - Embed Unit Tests in Your Docstrings.mp4

02:54

01. introducing doctest - embed unit tests in your docstrings.zip

02. Introduction to Yatzy Example & a First doctest.mp4

03:16

02. introduction to yatzy example & a first doctest.zip

03. Using a Test Runner to Execute Your Doctests.mp4

02:04

03. using a test runner to execute your doctests.zip

04. Interpreting Test Failures and Updating Your Docstring.mp4

01:53

04. interpreting test failures and updating your docstring.zip

05. Handling Output That Varies Using a Wildcard.mp4

04:08

05. handling output that varies using a wildcard.zip

06. Handling Random Numbers, Dictionaries, Floats, and Tracebacks.mp4

04:03

06. handling random numbers, dictionaries, floats, and tracebacks.zip

07. Global Options and Directives.mp4

03:05

07. global options and directives.zip

08. Regression Testing Your Tutorial Documentation.mp4

03:36

08. regression testing your tutorial documentation.zip

09. Module Summary.mp4

00:55

09. module summary.zip

6. Using Test Doubles

01. What Is a Test Double.mp4

02:03

01. what is a test double.zip

02. Example Using a Stub.mp4

03:45

02. example using a stub.zip

03. Creating a Stub Using unittest.Mock.mp4

02:28

03. creating a stub using unittest.mock.zip

04. Example Using a Fake.mp4

04:31

04. example using a fake.zip

05. Example Using a Dummy.mp4

02:48

05. example using a dummy.zip

06. Mocks and Spies Give You a Third Kind of Assertion.mp4

02:03

06. mocks and spies give you a third kind of assertion.zip

07. Example Using a Spy.mp4

05:35

07. example using a spy.zip

08. Example Using a Mock.mp4

04:22

08. example using a mock.zip

09. Overview of All the Types of Test Double.mp4

01:41

09. overview of all the types of test double.zip

10. Using Monkeypatching to Insert a Test Double.mp4

04:17

10. using monkeypatching to insert a test double.zip

11. Example Using Monkeypatching to Replace a Built-in Function.mp4

02:35

11. example using monkeypatching to replace a built-in function.zip

12. Module Summary.mp4

00:42

12. module summary.zip

7. Parameterized Tests & Test Coverage

01. Module Introduction.mp4

00:27

01. module introduction.zip

02. Example Using Parameterized Tests with pytest.mp4

03:19

02. example using parameterized tests with pytest.zip

03. Example Using Parameterized Tests with unittest.mp4

01:58

03. example using parameterized tests with unittest.zip

04. Example Measuring Test Coverage.mp4

02:58

04. example measuring test coverage.zip

05. Example Measuring Branch Coverage.mp4

03:17

05. example measuring branch coverage.zip

06. Example Adding Parameterized Tests to Existing Code with Coverage.mp4

05:44

06. example adding parameterized tests to existing code with coverage.zip

07. Tracking Coverage Trends.mp4

02:01

07. tracking coverage trends.zip

08. Good Uses for Coverage, and Alternatives for Assessing Test Quality.mp4

02:35

08. good uses for coverage, and alternatives for assessing test quality.zip

09. Module Summary.mp4

00:36

09. module summary.zip

Description

Unit testing is a great way to foster quality and enhance collaboration with other developers. Learn to write unit tests in good style using popular frameworks like unittest and pytest.

What You'll Learn?

Once you’ve learned the basics of the Python language and started building programs, you will soon realize a need for some automated tests to make sure everything you’ve built keeps on working as you (and other developers) extend and improve it. In this course, Unit Testing with Python, you will learn foundational knowledge in unit testing. First, you will discover how to write and run tests using the ‘unittest’ framework, and some theory about how to design good test cases. Next, you will explore other popular testing frameworks in Python - pytest and doctest. Finally, you will examine how to use test doubles effectively, and techniques for parameterized testing and measuring test coverage. When you’re finished with this course, you will have the skills and knowledge of writing unit tests needed to be confident adding tests for the code you write, and sharing those tests with other developers.

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Python

Unit Testing

Emily Bache

Instructor's Courses

Emily Bache is an independent consultant and technical coach specializing in automated testing and agile methods. Emily works daily with development teams helping them to improve their automated tests and raise code quality. Emily is the author of "Technical Coaching with the Samman method" and "The Coding Dojo Handbook: a practical guide to creating a space where good programmers can become great programmers". Emily spent many years working at AstraZeneca, a multinational pharmaceuticals company. There she led a team of developers building and extending a high-performance distributed system written in Python. Emily was proud to receive AstraZeneca's "Global Scientific and Technical Achievement Award" for her work. Since then she has developed automated testing strategies for software products at several other multinational companies.

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