這本書是寫成的代碼包含有關(guān)如何安裝或構(gòu)建不同類型的Python測試工具解決不同的問題一步一步的指示配方集合。每個配方包含了它的工作原理與常見問題和其他相關(guān)食譜交叉引用答案解釋。
易于理解的配方使之成為一個方便的名稱測試參考書。 Python開發(fā)和使用Python和Python測試基本的了解程序員會發(fā)現(xiàn)這個食譜有利。這將建立在基本的知識裝備要充分利用Python測試工具的中級和高級技巧。分解成許多小的代碼的食譜，你可以按照自己的速度閱讀這本書，無論你的經(jīng)驗(yàn)。沒有自動化測試的經(jīng)驗(yàn)是必需的。

This cookbook is written as a collection of code recipes containing step-by-step directions on how to install or build different types of Python test tools to solve different problems. Each recipe contains explanations of how it works along with answers to common questions and cross references to other relevant recipes. The easy-to-understand recipe names make this a handy test reference book. Python developers and programmers with a basic understanding of Python and Python testing will find this cookbook beneficial. It will build on that basic knowledge equipping you with the intermediate and advanced skills required to fully utilize the Python testing tools. Broken up into lots of small code recipes, you can read this book at your own pace, whatever your experience. No prior experience of automated testing is required.

目錄:

Preface
Chapter 1: Using Unittest To Develop Basic Tests
Chapter 2: Running Automated Test Suites with Nose
Chapter 3: Creating Testable Documentation with doctest
Chapter 4: Testing Customer Stories with Behavior Driven Development
Chapter 5: High Level Customer Scenarios with Acceptance Testing
Chapter 6: Integrating Automated Tests with Continuous Integration
Chapter 7: Measuring your Success with Test Coverage
Chapter 8: Smoke/Load Testing—Testing Major Parts
Chapter 9: Good Test Habits for New and Legacy Systems