Python Unit Test Automation: Automate, Organize, and Execute Unit Tests in Python

Python Unit Test Automation: Automate, Organize, and Execute Unit Tests in Python

Author
Ashwin Pajankar
Publisher
Apress
Language
English
Edition
2
Year
2021
Page
230
ISBN
1484278534,9781484278536
File Type
epub
File Size
2.1 MiB

Learn how to automate unit tests of Python 3 with automation libraries, such as doctest, unittest, nose, nose2, pytest, and selenium. This book explores important concepts in software test automation and demonstrates how to automate, organize, and execute unit tests with Python. It also introduces readers to the concepts of web browser automation and logging.
This new edition starts with an introduction to Python 3. Next, it covers doctest and pydoc. This is followed by a discussion on unittest, a framework that comes packaged with Python 3 itself. There is a dedicated section on creating test suites, followed by an explanation of how nose2 provides automatic test module discovery. Moving forward, you will learn about pytest, the most popular third-party library and testrunner for Python. You will see how to write and execute tests with pytest. You’ll also learn to discover tests automatically with pytest.
This edition features two brand new chapters, the firstof which focuses on the basics of web browser automation with Selenium. You’ll learn how to use Selenium with unittest to write test cases for browser automation and use the Selenium IDE with web browsers such as Chrome and Firefox. You’ll then explore logging frameworks such as Python’s built-in logger and the third-party framework loguru.
The book concludes with an exploration of test-driven development with pytest, during which you will execute a small project using TDD methodology.
What You Will Learn
Start testing with doctest and unittest Understand the idea of unit testing Get started with nose 2 and pytest Learn how to use logger and loguru Work with Selenium and test driven development

Who This Book Is ForPython developers, software testers, open source enthusiasts, and contributors to the Python community.

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