Python Unit Test Automation: Practical Techniques for Python Developers and Testers

Pajankar, Ashwin

ISBN 10: 1484226763 / ISBN 13: 9781484226766

Published by Apress, 2017

About this Item

130 pages. 9.00x6.00x0.50 inches. In Stock.

Seller Inventory # zk1484226763

Bibliographic Details

• Title: Python Unit Test Automation: Practical Techniques for Python Developers and Testers
• Publisher: Apress
• Publication Date: 2017
• Language: English
• ISBN 10: 1484226763
• ISBN 13: 9781484226766
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

Quickly learn how to automate unit testing of Python 3 code with Python 3 automation libraries, such as doctest, unittest, nose, nose2, and pytest.This book explores the important concepts in software testing and their implementation in Python 3 and shows you how to automate, organize, and execute unit tests for this language. This knowledge is often acquired by reading source code, manuals, and posting questions on community forums, which tends to be a slow and painful process.Python Unit Test Automation will allow you to quickly ramp up your understanding of unit test libraries for Python 3 through the practical use of code examples and exercises. All of which makes this book a great resource for software developers and testers who want to get started with unit test automation in Python 3 and compare the differences with Python 2.This short work is your must-have quick start guide to mastering the essential concepts of software testing in Python.What You'll Essential concepts in software testingVarious test automation libraries for Python, such as doctest, unittest, nose, nose2, and pytestTest-driven development and best practices for test automation in PythonCode examples and exercisesWho This Book Is Python developers, software testers, open source enthusiasts, and contributors to the Python community

From the Back Cover

This book shows readers how to automate unit testing of Python 3 code by introducing various Python 3 automation libraries, such as doctest, unittest, nose, nose2, and pytest. 
It also explores the important concepts in software testing and their implementation in Python 3. Hands-on knowledge of the frameworks helps readers to automate, organize, and execute their unit tests for Python 3. 
Knowledge of the frameworks discussed in the book is often acquired by reading source code, manuals, and posting questions on community forums. This tends to be a slow and painful process. Python Unit Test Automation will allow readers to quickly ramp up their understanding of unit test libraries for Python 3 through the practical use of code examples and exercises. All of which makes this book a great resource for software developers and testers who want to get started with unit test automation in Python 3.