本书适合软件测试人员及希望未来从事软件测试的其他专业人员阅读，也适合高等院校相关专业的学生及教师参考。...
本书全面系统地介绍了软件测试理论及应用技术，不仅讲述基本的测试技能，也讲述成为一个成功的软件测试员所必须掌握的高级技能。其目的在于引导读者通过基础知识和必要技能的学习而成为一个优秀的软件测试员，知道如何迅速在任一计算机程序中发现问题，如何计划一个有效的测试步骤，如何清楚地报告发现的问题，以及如何告知软件在何时发布。
本书是一本软件测试的入门书，内容全面实用，讲述浅显易懂，既可作为高等院校软件测试课程的教材，也可作为软件测试爱好者的自学用书。对于那些希望增强软件测试方面知识的程序员、软件项目经理和软件开发团队的其他人员，本书也具有很好的参考价值。

想要了解FreeBSD的设计和实现，本书绝对不容错过！

强化学习导论 第二版 英文版 2017最新版 Reinforcement Learning An Introduction

This second edition covers Hadoop 2, which at the time of writing is the current production-ready version of Hadoop. The first edition of the book covered Hadoop 0.22 (Hadoop 1 wasn’t yet out), and Hadoop 2 has turned the world upside-down and opened up the Hadoop platform to processing paradigms beyond MapReduce. YARN, the new scheduler and application manager in Hadoop 2, is complex and new to the community, which prompted me to dedicate a new chapter 2 to covering YARN basics and to discussing how MapReduce now functions as a YARN application. Parquet has also recently emerged as a new way to store data in HDFS—its columnar format can yield both space and time efficiencies in your data pipelines, and it’s quickly becoming the ubiquitous way to store data. Chapter 4 includes extensive coverage of Parquet, which includes how Parquet supports sophisticated object models such as Avro and how various Hadoop tools can use Parquet. How data is being ingested into Hadoop has also evolved since the first edition, and Kafka has emerged as the new data pipeline, which serves as the transport tier between your data producers and data consumers, where a consumer would be a system such as Camus that can pull data from Kafka into HDFS. Chapter 5, which covers moving data into and out of Hadoop, now includes coverage of Kafka and Camus.

作者THOMAS M 英文原版第二版答案

《嵌入式计算系统设计原理》第二版的英文PDF。

顶顶有名的龙书 英文第二版，添加了全部书签。

《Neural Network Design》第二版原文书，作者Neural Network Design 仅供大家学习参考。 希望抛砖引玉找到中文版，以及习题部分的答案。

Computer Vision-A Modern Approach，第二版(英文)，2012，非扫描版

本书是算法设计畅销书的经典版本，是设计实用且高效算法的最全面指导书。本书揭密了算法的设计与分析，以简单易懂的写作风格，介绍了各种算法技术，着重强调了算法分析，全书包括两大部分，“技术”部分介绍了设计和分析计算机算法的各种方法，“资源”部分给出了大量的参考资源，以及算法实现的各种资源，此外，在作者的个人网址上还提供了各种教学资源和参考材料，这些资源对读者很有参考价值。. 本书可以作为算法设计课程的主教材，也是程序人员、研究人员和学生的常备参考书。