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标签:Programming
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C程序设计教程
《C程序设计教程》是《计算机科学丛书》之一。《C程序设计教程》详细叙述了C程序设计语言,强调用结构化程序设计方法编写程序,自始至终用完整的程序输出范例来演示所讲的概念,内容全面,层次清晰,可作为大专院校学生和计算机编程爱好者的入门与提高教程。 -
代码优化
本书系统深入地介绍了各种代码优化编程技术。全书分为4章。第1章集中介绍如何确定程序中消耗CPU时钟最多的热点代码的所谓程序剖析技术以及典型部分工具的实用知识。第2,3章分别全面介绍RAM了系统与高速缓存子系统的代码优化知识。第4章主要介绍了机器代码优化技术。各章在讨论基本原理的同时详细给出了代码实例,并对优化性能进行了定量的分析。 该书特别适合于作为应用程序员及系统程序员的学习与开发之用。同时,本书对在硬件方面的专业人员与技术工作者有一定的参考价值。 -
ACE程序员指南
本书由ACE的几位核心开发者撰写,快速而直接地解释了怎样充分利用ACE。从介绍ACE开始,循序渐进,详细讨论了ACE的IPC设施、进程及线程管理以及一些高级话题,比如共享内存、ACE Streams框架、ACE Service Configurator框架、定时器管理类、ACE Naming Service等等。在这个过程中,作者给出了许多源码例子,通过贯穿全书的ACE应用实例来告诉读者如何应用各种关键的模式和设计原则,去成功地开发面向对象的网络化软件。通过本书的学习,你将能更好地设计并实现性能驱动的、无法在市场上买到的网络化软件,从而始终在竞争中走在前列。 -
Code Reading
2004年美国Jolt大奖入围作品。 如果你是个程序员的话,那么你就需要本书。可能导致我们阅读代码的原因是:我们不得不去修复它其中所包含的错误;或是对它进行遍查(inspect);或者是改善它。我们阅读代码的方式可能和工程师检查机械的方式一样——找出它的工作原理。或者我们阅读代码的目的是对代码进行清理——找出其中可以被重用的部分。阅读代码有着它自身的技巧,并需要我们能够在重要场合对采用何种技术有着判断能力。在这本不可或缺的书中,Diomidis Spinellis使用了超过600个来自现实世界中的例子来向我们展示如何鉴别好的(或坏的)代码:如何去阅读它,从中去找寻什么,以及如何利用这种技巧来提升我们自身编写的代码的品质。记住这个事实:如果我们养成了阅读好代码的习惯,我们就能写出更高品质的代码。 -
程序设计方法(中文版)
《程序设计方法》以Scheme语言为基础介绍计算和程序设计的一般理论和实践。《程序设计方法》由8个部分和7个独立的章节(第8、13、18、24、29、33、38章)组成。8个部分主要讨论程序设计,独立章节则介绍一些与程序设计和计算相关的话题。《程序设计方法》第1至第3部分介绍了基于数据驱动的程序设计基础。第4部分介绍了程序设计中的抽象问题。第5部分和第6部分是与递归及累积相关的内容。《程序设计方法》的最后两部分说明了设计程序的意义,阐述了如何应用前6个部分所描述的程序设计诀窍,以及使用赋值语句必须特别小心的一些问题。 《程序设计方法》可作为高等院校计算机科学与技术专业“程序设计导论”和“计算导论”的教材和教学参考书,也可作为函数式语言和Scheme语言的入门教材。 -
Python高级编程
《Python高级编程》通过大量的实例,介绍了Python语言的最佳实践和敏捷开发方法,并涉及整个软件生命周期的高级主题,诸如持续集成、版本控制系统、包的发行和分发、开发模式、文档编写等。《Python高级编程》首先介绍如何设置最优的开发环境,然后以Python敏捷开发方法为线索,阐述如何将已被验证的面向对象原则应用到设计中。这些内容为开发人员和项目管理人员提供了整个软件工程中的许多高级概念以及专家级的建议,其中有些内容的意义甚至超出了Python语言本身。 《Python高级编程》针对具备一定Python基础并希望通过在项目中应用最佳实践和新的开发技术来提升自己的Python开发人员。 -
Python高级编程
《Python高级编程》通过大量的实例,介绍了Python语言的最佳实践和敏捷开发方法,并涉及整个软件生命周期的高级主题,诸如持续集成、版本控制系统、包的发行和分发、开发模式、文档编写等。《Python高级编程》首先介绍如何设置最优的开发环境,然后以Python敏捷开发方法为线索,阐述如何将已被验证的面向对象原则应用到设计中。这些内容为开发人员和项目管理人员提供了整个软件工程中的许多高级概念以及专家级的建议,其中有些内容的意义甚至超出了Python语言本身。 《Python高级编程》针对具备一定Python基础并希望通过在项目中应用最佳实践和新的开发技术来提升自己的Python开发人员。 -
高效程序员的45个习惯
“书中‘切身感受’的内容非常有价值——通过它我们可以做到学有所思,思有所悟,悟有所行。” ——Nathaniel T. Schutta,《Ajax基础教程》作者 “此书通过常理和经验,阐述了为什么你应该在项目中使用敏捷方法。最难得的是,这些行之有效的实战经验,竟然从一本书中得到了。” ——Matthew Johnson,软件工程师 十年来,软件行业发生了翻天覆地的变化。敏捷方法大行其道,测试和测试驱动开发在很多开发人员的工作中扮演着重要的角色。作为一名程序员,你应该培养怎样的素质,方能对多变的环境应对自如,始终立于不败之地? 本书简明实用、见解深刻,总结了高效程序员在开发过程中的45个个人习惯、思想观念和方法,有助于开发人员在开发进程、编码工作、开发者态度、项目和团队管理,以及持续学习等5个方面积极修炼。通过学习这些内容,养成这些好的习惯,你可以极大地提升自己的编程实力,更快速、更可靠地交付更高质量的软件,从而成为真正的高效程序员。 -
Linux C编程一站式学习
本书有两条线索,一条线索是以Linux平台为载体全面深入地介绍C语言的语法和程序的工作原理,另一条线索是介绍程序设计的基本思想和开发调试方法。本书分为两部分:第一部分讲解编程语言和程序设计的基本思想方法,让读者从概念上认识C语言;第二部分结合操作系统和体系结构的知识讲解程序的工作原理,让读者从本质上认识C语言。. 本书适合做零基础的初学者学习C语言的第一本教材,帮助读者打下牢固的基础。有一定的编程经验但知识体系不够完整的读者也可以对照本书查缺补漏,从而更深入地理解程序的工作原理。本书最初是为北京亚嵌教育研究中心的嵌入式Linux系统工程师就业班课程量身定做的教材之一,也适合作为高等院校程序设计基础课程的教材。本书对于C语言的语法介绍得非常全面,对C99标准做了很多解读,因此也可以作为一本精简的C语言语法参考书。... -
软件调试的艺术
调试对于软件的成败至关重要,正确使用恰当的调试工具可以提高发现和改正错误的效率。《软件调试的艺术》详细介绍了3种调试器,GDB用于逐行跟踪程序、设置断点、检查变量以及查看特定时间程序的执行情况,DDD是流行的GDB的GUI前端,而Eclipse提供完整的集成开发环境。书中不但配合实例讨论了如何管理内存、理解转储内存、跟踪程序找出错误等内容,更涵盖了其他同类书忽略的主题,例如线程、客户/服务器、GUI和并行程序,以及如何躲开常见的调试陷阱。 《软件调试的艺术》适合各层次软件开发人员、管理人员和测试人员阅读。 -
Perl语言入门
《Perl语言入门(第5版)》也就是大家所称道的“小骆驼书”,是Perl程序设计人员最为仰赖的启蒙读物之一。自1993年以来,这本《Perl语言入门(第5版)》就成为热卖的Perl语言教学材料,而此次新版又涵盖了Perl 5.10的最新变化。《Perl语言入门(第5版)》的诸位作者自1991年起就开始在Stonehenge Consulting从事Perl教学工作,多年的课堂教学实践和积累下来的点滴经验,形成了《Perl语言入门(第5版)》特有的教学节奏,以及务实的知识点取舍。随文而至的习题,可以让你及时巩固各种概念,强化理解和吸收。《Perl语言入门(第5版)》容涵盖: ·Perl的变量类型 ·子程序 ·文件的操作 ·正则表达式 ·字符串的操作 ·列表与排序 ·进程的管理 ·智能匹配 ·第三方模块的使用 有些人只是想要完成任务,Perl语言为此而生。Perl的最初目标只是为了协助Unix系统管理员完成日常繁琐的文本数据处理工作。时至今日,Perl已发展成为一套功能齐备的程序语言,几乎可以在任何操作系统上完成各种任务——从简单的命令行工具到Web应用开发,及至生物信息学、金融数据分析等等不一而足。其他书籍可能会着重于教会你使用Perl语言来编程,可《Perl语言入门(第5版)》不同,我们是想要你成为一名真正的Perl程序员。 -
链接器和加载器
《链接器和加载器》讲述构建程序的关键工具——链接器和加载器,内容包括链接和加载、体系结构、目标文件、存储分配、符号管理、库、重定位、加载和覆盖、共享库、动态链接和加载、动态链接的共享库,以及着眼于成熟的现代链接器所做的一些变化;并介绍一个持续的实践项目,即使用Perl语言开发一个可用的小链接器。 《链接器和加载器》适合高校计算机相关专业的学生、实习程序员、语言设计者和开发人员阅读参考。 -
冒号课堂
《冒号课堂》以课堂对话的形式,借六位师生之口讲述编程要义。上篇对编程范式作了入门性的介绍,并对一些流行的编程语言进行了简评;下篇侧重阐发软件设计思想,其中在范式上以OOP为主,在语言上以C++、Java和C#为主。全书寓庄于谐,深入浅出,既可开阔眼界,又能引发思考,值得编程爱好者品读。 -
Learning Python
Amazon.com Review The authors of Learning Python show you enough essentials of the Python scripting language to enable you to begin solving problems right away, then reveal more powerful aspects of the language one at a time. This approach is sure to appeal to programmers and system administrators who have urgent problems and a preference for learning by semi-guided experimentation. First off, Learning Python shows the relationships among Python scripts and their interpreter (in a mostly platform-neutral way). Then, the authors address the mechanics of the language itself, providing illustrations of how Python conceives of numbers, strings, and other objects as well as the operators you use to work with them. Dictionaries, lists, tuples, and other data structures specific to Python receive plenty of attention including complete examples. Authors Mark Lutz and David Ascher build on that fundamental information in their discussions of functions and modules, which evolve into coverage of namespaces, classes, and the object-oriented aspects of Python programming. There's also information on creating graphical user interfaces (GUIs) for Python applications with Tkinter. In addition to its careful expository prose, Learning Python includes exercises that both test your Python skills and help reveal more elusive truths about the language. --This text refers to an out of print or unavailable edition of this title. Review As a book for programmers who want to learn Python, it does a very good job. The coverage is informative and well order; making it easy to find what you're looking for. Overall, if you do some work with Python, you will benefit from owning this book. " - Sam Smith, news@UK, March "This book is a good example of Python culture, in the clarity of its text as much as in the quality of its code. Anyhone working their way through it will have a solid foundation upon which to explore Python's potential. Highly recommended." - Ivan Uemilianin, CVu, October 2004 --This text refers to the Paperback edition. -
Learning Python
Amazon.com Review The authors of Learning Python show you enough essentials of the Python scripting language to enable you to begin solving problems right away, then reveal more powerful aspects of the language one at a time. This approach is sure to appeal to programmers and system administrators who have urgent problems and a preference for learning by semi-guided experimentation. First off, Learning Python shows the relationships among Python scripts and their interpreter (in a mostly platform-neutral way). Then, the authors address the mechanics of the language itself, providing illustrations of how Python conceives of numbers, strings, and other objects as well as the operators you use to work with them. Dictionaries, lists, tuples, and other data structures specific to Python receive plenty of attention including complete examples. Authors Mark Lutz and David Ascher build on that fundamental information in their discussions of functions and modules, which evolve into coverage of namespaces, classes, and the object-oriented aspects of Python programming. There's also information on creating graphical user interfaces (GUIs) for Python applications with Tkinter. In addition to its careful expository prose, Learning Python includes exercises that both test your Python skills and help reveal more elusive truths about the language. --This text refers to an out of print or unavailable edition of this title. Review As a book for programmers who want to learn Python, it does a very good job. The coverage is informative and well order; making it easy to find what you're looking for. Overall, if you do some work with Python, you will benefit from owning this book. " - Sam Smith, news@UK, March "This book is a good example of Python culture, in the clarity of its text as much as in the quality of its code. Anyhone working their way through it will have a solid foundation upon which to explore Python's potential. Highly recommended." - Ivan Uemilianin, CVu, October 2004 --This text refers to the Paperback edition. -
LINUX系统编程
《LINUX系统编程》讲述了:在某些时刻,几乎所有的程序员都要与其程序所处操作系统中的系统调用和程序库打交道。《LINUX系统编程》主要讨论如何编写Linux系统软件——代码位于底层,并且直接跟内核及核心系统程序库对话。《Linux系统编程》描述了使用标准接口包括使用Linux独有的高级接口时,在功能和性能之间如何进行权衡取舍的策略。 该书同样也是一本内行人士编写灵活高效代码的学习指南。作为内核黑客和《LINUX系统编程》的作者,Robert Love不仅阐释了系统接口应该如何工作,还介绍了它们实际上是如何工作的,以及怎样安全有效地使用它们。《Linux系统编程》包含了帮助你在任何层面编写更佳代码的实用技巧。 《LINUX系统编程》主题包括: 读写文件以及其他文件I/O操作,包括Linux内核如何实现和管理文件I/O,内存映射与优化 技术进程管理的系统调用,包括实时进程 文件与目录——创建、移动、复制、删除和管理 内存管理——内存分配接口,管理内存,以及优化内存访问 信号及其在Unix系统中的角色,以及基本和高级信号接口 时间、休眠和时钟管理,从基础开始讲述,并且涵盖POSIX时钟和高精度计时器拥有《Linux系统编程》,你将从理论和应用的角度深入了解Linux,可以最大限度地利用系统的潜能。 -
苹果开发之Cocoa编程
从零开始学习Cocoa的首选图书. 涵盖了最新的Mac编程技术 高级Mac OS X开发者们联手强烈推荐.. Mac OS X编程图书的标杆 Aaron Hillegass多年Cocoa教学实践经验的总结 本书内容涵盖了Objective-C语言、Cocoa的主要设计模式,以及三个最常使用的开发工具:Xcode、Interface Builder和Instruments。 本书的第三版更新了在Mac OS X 10.4和10.5中引入的一些技术,包括Xcode 3,、Objective-C 2、Core Data、垃圾收集器和CoreAnimation。 本书适合已经有一点C基础并且知道一点面向对象知识的程序员。你不须要有任何Mac编程经验。 -
Let Over Lambda
Let Over Lambda is one of the most hardcore computer programming books out there. Starting with the fundamentals, it describes the most advanced features of the most advanced language: Common Lisp. Only the top percentile of programmers use lisp and if you can understand this book you are in the top percentile of lisp programmers. If you are looking for a dry coding manual that re-hashes common-sense techniques in whatever langue du jour, this book is not for you. This book is about pushing the boundaries of what we know about programming. While this book teaches useful skills that can help solve your programming problems today and now, it has also been designed to be entertaining and inspiring. If you have ever wondered what lisp or even programming itself is really about, this is the book you have been looking for. -
Elements of Programming
Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book’s value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system’s software components will work together and behave as they must. Following key definitions, the book describes a number of algorithms and requirements for types on which they are defined that exemplify its abstract mathematical approach. The code for these descriptions—also available on the Web—is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup. Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book’s experienced authors have been teaching and demonstrating for years—that mathematics is good for programming, that theory is good for practice. -
Elements of Programming
Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book’s value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system’s software components will work together and behave as they must. Following key definitions, the book describes a number of algorithms and requirements for types on which they are defined that exemplify its abstract mathematical approach. The code for these descriptions—also available on the Web—is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup. Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book’s experienced authors have been teaching and demonstrating for years—that mathematics is good for programming, that theory is good for practice.
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