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Pajankar - Python unit test automation practical techniques for Python developers and testers

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Book:
Python unit test automation practical techniques for Python developers and testers
Author:
Pajankar / Ashwin
Publisher:
Apress
Genre:
Books / Computer
Year:
2017
City:
United States
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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 Automationwill 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 Youll Learn:
Essential concepts in software testing
Various test automation libraries for Python, such as doctest, unittest, nose, nose2, and pytest
Test-driven development and best practices for test automation in Python
Code examples and exercises
Who This Book Is For:
Python developers, software testers, open source enthusiasts, and contributors to the Python community

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Ashwin Pajankar

Python Unit Test Automation Practical Techniques for Python Developers and Testers

Ashwin Pajankar

Nashik, Maharashtra, India

Any source code or other supplementary materials referenced by the author in this text are available to readers at www.apress.com . For detailed information about how to locate your books source code, go to www.apress.com/source-code/ . Readers can also access source code at SpringerLink in the Supplementary Material section for each chapter.

ISBN 978-1-4842-2676-6 e-ISBN 978-1-4842-2677-3

DOI 10.1007/978-1-4842-2677-3

Library of Congress Control Number: 2017933075

Ashwin Pajankar 2017

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.

Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.

While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.

Printed on acid-free paper

Distributed to the book trade worldwide by Springer Science+Business Media New York, 233 Spring Street, 6th Floor, New York, NY 10013. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com, or visit www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.

Introduction

Why This Book?

I have been using Python for more than 10 years for a variety of stuff. Initially, I used it for GUI applications. Then I quickly moved to the scientific usage as my academic projects demanded it. When I entered professional life, I used it for automation first and then for implementation of alert mechanisms. I have been using Python for the last six years in the various fields of scientific computing, Internet of Things (IoT), and single board computers. I have written plenty of Python code over these years. I always prefer it to bash scripting, which offers limited capabilities to users like me. Over the period of the last 10 years, I worked as a developer, an R&D engineer, a maker, an author, and a QA specialist. I used Python in every single role.

Whenever I write any code, I unit test it thoroughly every time. Earlier I used to unit test all my Python modules in the good old manual way. I used to run all the scripts once and compare the outcome with whats expected. However, I experienced that when your codebase grows larger, its pretty difficult to perform the activity of testing the scripts manually. Also, all the scripts have to be tested, re-tested, and tested for regression whenever a small part of the codebase changes. I was looking for a way to run all the tests automatically and then I started reading about test automation. It immediately aroused my curiosity and, after a couple of days, I was running my own automated Python tests. After acquainting myself with the philosophy of test automation, I applied the knowledge to automate unit and integration testing to web, mobile, GUI, API, and a variety of other types of applications using programming languages like C++, Python, Java, and PHP.

I wrote this book to share my knowledge and experiences while automating the unit tests in Python 3. I explore different frameworks and plugins in this book. I learned about the tools and techniques explained in this book by spending numerous hours learning, coding, discussing, and actively participating in diverse Internet forums. I have condensed the knowledge to the basics of the unit test automation frameworks in this book. I hope readers will enjoy reading and following the book as much as I enjoyed writing it. This book includes the following:

An introduction to Python and various IDEs
Various test automation frameworks for Python 3, including doctest , unittest , nose , nose2 , and pytest
Coding standards for Python 3 test automation and implementation of test driven development with pytest in Python 3

Who This Book Is For

The main audience of this book is Python 3 programmers who want to automate their unit tests. This includes a large and diverse set of people, including developers, test automators, students, researchers, and novice learners. The book is for those who have some knowledge of the Python programming language. The test automation engineers who have already worked with other programming frameworks, such as Java and C++, will find this book immensely useful to learn how test automation is done in Python 3. If you are just beginning with Python 3 programming and want to quickly get into automating the unit tests of your modules and packages, you will find this book helpful.

What this book is not. This book is not a book for learning Python 3 programming and syntax from scratch. It is also not a DIY cookbook for development projects. If your understanding of coding is limited, you will find it difficult to follow this book.

How This Book Is Organized

This book has six chapters. Here is a sneak peek into the chapters of the book:

Chapter : This chapter introduces the readers to the history and philosophy of Python. It teaches you how to install Python and how to set up the environment for Python 3 programming. It also briefly explores the new features of Python 3 and introduces the readers to a few popular Python 3 IDEs.
Chapter : The aim of this chapter is to quickly get the readers started with unit test automation in Python 3. The chapter revises the understanding of testing concepts and quickly moves into implementing those concepts with docstring and doctest .
Chapter : This chapter serves to introduce xUnit and its philosophy to the readers. Then it proceeds to teach the readers how to to implement concepts of xUnit with unittest , a xUnit port for Python.
Chapter : This chapter explores the inadequacies in unittest. Then it explores a better unit testing framework, called nose . It explains the installation of plugins for nose to generate reports. It also discusses nose2 , which is nose 's next-generation version thats under active development.

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