Python Testing Cookbook

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出版者:Packt Publishing
作者:Greg L. Turnquist
出品人:
頁數:364
译者:
出版時間:2011-5-17
價格:USD 44.99
裝幀:Paperback
isbn號碼:9781849514668
叢書系列:
圖書標籤:
  • Python
  • Testing
  • 編程
  • testing
  • 2012
  • 軟件開發
  • 計算機科學
  • 測試
  • Python
  • Testing
  • Unit Testing
  • Integration Testing
  • pytest
  • unittest
  • Mocking
  • TDD
  • CI/CD
  • Automation
  • Debugging
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具體描述

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.

《Python Testing Cookbook》是一部專注於實際測試實踐的實用指南,深入探討如何在多樣化編程場景中高效實施自動化測試。本書聚焦於 Python 語言生態中的測試技術,從單元測試、集成測試到端到端驗證,全方位解析關鍵測試工具和方法。作者不僅介紹瞭 pytest、unittest 和 doctest 等主流框架的使用技巧,更通過真實項目案例展示如何構建可維護、可擴展的測試體係。每一章均結閤具體開發環境配置,詳細說明如何編寫斷言邏輯、管理測試數據以及集成持續集口(CI)。內容覆蓋 Mock 對象與依賴注入技術,幫助讀者實現高效模擬外部調用;同時涵蓋性能測試與異常捕獲策略,提升軟件質量保障能力。書中特彆強調測試驅動開發(TDD)理念,引導讀者在編碼前先寫測試用例,從設計階段就減少缺陷。這部作品兼具理論深度與實操性,適用於從初級到進階的 Python 開發者,尤其重視構建可靠、穩定軟件係統的工程實踐。通過細緻講解工具參數優化、測試報告生成及錯誤分析方法,讀者能夠快速掌握高質量測試流程,在現代敏捷開發環境中提升交付效率與代碼可信度。無論是個人項目還是團隊協作,此書提供一套係統化的測試解決方案,成為 Python 編程實踐中的重要參考。

作者簡介

Greg has worked since 1997 as a software engineer at Harris Corporation, always seeking the right tool for the job. Since 2002, Greg has been part of the senior software team working on Harris' $3.5 billion FAA telco program, architecting mission-critical enterprise apps while managing a software team. He provides after hours support and 2nd-level engineering to support the nation-wide telco network and is no stranger to midnight failures and software triage. In 2010, Greg joined the SpringSource division of VMware.

Being a test-bitten script junky, Greg has used JUnit, TestNG, JMock, FEST, PyUnit, and pMock testing frameworks, along with other agile practices to produce top-quality code.

He has worked with Java, Spring, Spring Security, AspectJ, and Jython technologies and also developed sophisticated scripts for *nix and Windows platforms. Being a wiki evangelist, he also deployed a LAMP-based wiki website to provide finger-tip knowledge to users.

In 2006, Greg created the Spring Python project. The Spring Framework provided many useful features, and he wanted those same features available when working with Python.

Greg completed a master's degree in Computer Engineering at Auburn University, and lives in the United States with his family.

目錄資訊

讀後感

評分☆☆☆☆☆

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 ...  

評分☆☆☆☆☆

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 ...

評分☆☆☆☆☆

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 ...

評分☆☆☆☆☆

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 ...  

評分☆☆☆☆☆

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 ...

用戶評價

评分☆☆☆☆☆

最後一章是精華。整體還是本手冊

评分☆☆☆☆☆

最後一章是精華。整體還是本手冊

评分☆☆☆☆☆

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