Python Testing Cookbook - Second Edition

More Information
Learn
  • Run test cases from the command line with increased verbosity
  • Write a Nose extension to pick tests based on regular expressions
  • Create testable documentation using doctest
  • Use Selenium to test the Web User Interface
  • Write a testable story with Voidspace Mock and Nose
  • Configure TeamCity to run Python tests on commit
  • Update project-level scripts to provide coverage reports
About

Automated testing is the best way to increase efficiency while reducing the defects of software testing. It helps find bugs in code easily and at an early stage so that they can be tackled efficiently. This book delves into essential testing concepts used in Python to help you build robust and maintainable code.

Python Testing Cookbook begins with a brief introduction to Python's unit testing framework to help you write automated test cases. You will learn how to write suitable test sets for your software and run automated test suites with Nose. You will then work with the unittest.mock library, which allows you to replace the parts of your system that are being tested with mock objects and make assertions about how they have been used. You will also see how to apply Test-driven Development (TDD) and Behavior-driven Development (BDD) and how to eliminate issues caused by TDD. The book explains how to integrate automated tests using Continuous Integration and perform smoke/load testing. It also covers best practices and will help you solve persistent testing issues in Python. The book concludes by helping you understand how doctest works and how Selenium can be used to test code efficiently.

Features
  • Use powerful tools such as doctest and unittest to make testing convenient
  • Apply automation testing to an existing legacy system that isn't test oriented
  • A practical guide to ease testing in Python using real-world examples
Page Count 396
Course Length 11 hours 52 minutes
ISBN 9781787122529
Date Of Publication 28 Jun 2018

Authors

Greg L. Turnquist

Greg L. Turnquist has been a software professional since 1997. In 2002, he joined the senior software team that worked on Harris' $3.5 billion FAA telco program, architecting mission-critical enterprise apps while managing a software team. He provided after-hours support to a nation-wide system and is no stranger to midnight failures and software triages. In 2010, he joined the SpringSource division of VMware, which was spun off into Pivotal in 2013.

As a test-bitten script junky, Java geek, and JavaScript Padawan, he is a member of the Spring Data team and the lead for Spring Session MongoDB. He has made key contributions to Spring Boot, Spring HATEOAS, and Spring Data REST while also serving as editor-at-large for Spring's Getting Started Guides.

Greg wrote technical best sellers Python Testing Cookbook and Learning Spring Boot, First Edition, for Packt Publishing. When he isn't slinging code, Greg enters the world of magic and cross swords, having written the speculative fiction action and adventure novel, Darklight.

He completed his Master's degree in computer engineering at Auburn University and lives in the United States with his family.

Bhaskar N. Das

Bhaskar N. Das has 8 years' experience in various projects involving application development, maintenance, and support with IBM. He has worked in various technologies and domains including Java, Python, application servers, the cloud, and various database technologies. His domain expertise includes finance and asset management (IT and finance assets). His areas of interest include big data, business finance optimization and scaling, data science, and Machine Learning.