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Every so often a book comes along that makes you ask yourself, "Gee, when was the last time I had my eyes checked?" David M. Beazley's Python: Essential Reference is just such a book. Condensing thousands of pages of Python online documentation into a compact 319-page softcover, Beazley and his editors used the old-college trick (often performed in reverse) of dickering with the font size to meet a putative page-limit requirement. The result is a truly condensed product fit for the occularly well-adjusted (nota bene). Beazley's subject is Python, a full-featured, freely-redistributable, POSIX-compliant (platforms include Linux, Unix, Macintosh, and Windows) scripting language that is based on object-oriented design principles. As advertised, Beazley's source release (1.5.2) is available from an unfortunately slow server at www.python.org. The installation under Linux (Redhat 5.2) proceeded without incident. Beazley holds true to his catalogic purpose: fully 230 pages are formatted as technical appendices and indices covering the standard litany: built-in function syntax, database features, OS-level interfaces, Internet interfaces, and compiling/profiling/debugging. All references are fully annotated and illustrated with example source code that runs from a couple of lines to a couple of pages. In lock step with competing scripting languages, Python is extensible and embeddable in C and C++, and with blitzkrieg efficiency, Beazley summarizes these crucial practical issues in the final 30 pages. Python users who are tired of chasing questions through hyperlinked online documents will benefit from the expansive random-access index. Python the book captures the orderliness of Python the language. Beazley begins with an 86-page précis of Python in the fashion of Kernighan and Ritchie: too brief for a newbie tutorial but enough to propel old hands into a scripting language that aspires to the elegance of a compiled language. Indeed, it is a byte-compiling language. The line bytecode=compile("some_python_script",'','exec')) creates 'bytecode' as a token executed by exec bytecode. But a five-minute investigation through Beazley's book does not describe how 'bytecode' can be written into a separate executable file. If writing the byte-compiled code to a file is not possible, Python suffers from the limitations of other scripting languages: the executable is the source and cannot be hidden from the user, at least not without some difficulty. Despite its extensibility, embeddability, and pleasing architecture, Python is like other scripting languages: appropriate for solving small nonproprietary problems. Those familiar with more established scriptors like Perl may ask, "Why Python?" Unlike Perl, Python is a product of the fully object-oriented (OO) era, and its constructs reflect design principles that aspire beyond keystroke shortcuts of the succinct-but-often-arcane Perl. Python creator Guido van Rossum cleansed Perl's idiosyncracies and objectified basic data structure, data manipulations, and I/O. With Python, OO is so intrinsic that learning Python is equivalent to learning OO. The same cannot be said of Perl. Unfortunately, comparisons with other languages are missing from Beazley's book. Van Rossum, in an embarrassingly self-serving foreword, preemptively asserts that we readers need "neither evangelizing nor proselytizing"--after all, we already own the book--but we do need galvanizing and we don't find it. Specifically, we need a response to the oft-repeated wisdom that new computer languages are only worth learning if they teach us to organize our thinking along new lines. Scripting languages, however, are for quick and dirty projects: quick to write, easy to hack, and ultimately disposable. The essential tension created by van Rossum and friends is between the elegance of object-oriented principles and the utility of a quick-hacked script. Sadly, the tension remains unresolved in Beazley's reference. There is little to convince us that Python has earned its place in the firmament by changing our thinking. But Beazley has given us much to get us going if we have already taken the leap of faith. --Peter Leopold --This text refers to an out of print or unavailable edition of this title. From Library Journal Though Python is a relatively new programming language, it has quite a significant audience owing to its sensible syntax. An active user of Python since 1996, Beazley provides ample information on the fundamentals of versions 2.0 and 2.1, including syntax, functions, operators, classes, and libraries. This is first and foremost a reference, so he avoids lengthy discussions of Python's superiority. Peppered with good code samples and featuring a companion web site with more extensive pieces, this title should be on hand in larger libraries. Copyright 2001 Reed Business Information, Inc.

为了彻底理解是什么使得Linux能正常运行以及其为何能在各种不同的系统中运行良好，你需要深入研究内核最本质的部分。内核处理CPU与外界间的所有交互，并且决定哪些程序将以什么顺序共享处理器时间。它如此有效地管理有限的内存，以至成百上千的进程能高效地共享系统。它熟练地统筹数据传输，这样CPU不用为等待速度相对较慢的硬盘而消耗比正常耗时更长的时间。 《深入理解Linux内核，第三版》指导你对内核中使用的最重要的数据结构、算法和程序设计诀窍进行一次遍历。通过对表面特性的探究，作者给那些想知道自己机器工作原理的人提供了颇有价值的见解。书中讨论了Intel特有的重要性质。相关的代码片段被逐行剖析。然而，本书涵盖的不仅仅是代码的功能，它解释了Linux以自己的方式工作的理论基础。

《Linux内核设计与实现(原书第3版)》详细描述了Linux内核的设计与实现。内核代码的编写者、开发者以及程序开发人员都可以通过阅读本书受益，他们可以更好理解操作系统原理，并将其应用在自己的编码中以提高效率和生产率。 《Linux内核设计与实现(原书第3版)》详细描述了Linux内核的主要子系统和特点，包括Linux内核的设计、实现和接口。从理论到实践涵盖了Linux内核的方方面面，可以满足读者的各种兴趣和需求。 作者Robert Love是一位Linux内核核心开发人员，他分享了在开发Linux 2.6内核过程中颇具价值的知识和经验。本书的主题包括进程管理、进程调度、时间管理和定时器、系统调用接口、内存寻址、内存管理和页缓存、VFS、内核同步、移植性相关的问题以及调试技术。同时本书也涵盖了Linux 2.6内核中颇具特色的内容，包括CFS调度程序

《Linux内核源码剖析:TCP/IP实现(套装上下册)》详细论述了Linux内核2.6.20版本中TCP／IP的实现。书中给出了大量的源代码，通过对源代码的详细注释，帮助读者掌握TCP／IP的实现。《Linux内核源码剖析:TCP/IP实现(套装上下册)》根据协议栈层次，从驱动层逐步论述到传输层，包括驱动的实现、接口层的输入输出、IP层的输入输出以及IP选项的处理、邻居子系统、路由、套接口及传输层等内容，全书基本涵盖了网络体系架构全部的知识点。特别是TCP，包括TCP连接的建立和终止、输入与输出，以.及拥塞控制的实现。

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 experimenta.

本书以探索之旅的形式，从在浏览器中输入网址开始，一路追踪了到显示出网页内容为止的整个过程，以图配文，讲解了网络的全貌，并重点介绍了实际的网络设备和软件是如何工作的。目的是帮助读者理解网络的本质意义，理解实际的设备和软件，进而熟练运用网络技术。同时，专设了“网络术语其实很简单”专栏，以对话的形式介绍了一些网络术语的词源，颇为生动有趣

本书描述了计算机网络领域几乎所有的算法.

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