《Python在Unix和Linux系统管理中的应用(影印版)》作者们还构建了一个可以免费下载的Ubuntu虚拟机。该虚拟机包含了这《Python在Unix和Linux系统管理中的应用(影印版)》的源代码，还可以用来运行书中的实例，包括SNMP、IPython、SQLAlchemy和许多其他工具。《Python在Unix和Linux系统管理中的应用》展示了Python语言如何提供一种更加高效的方式来处理Unix和Linux服务器管理工作中的各种任务。《Python在Unix和Linux系统管理中的应用(影印版)》的每一章都会提出一个特定的管理问题，例如并发或数据备份，然后通过实际的例子提供基于Python的解决方案。你将学习使用Python开发一套属于自己的命令行工具，并用来解决一系列范围很广的问题。通过《Python在Unix和Linux系统管理中的应用(影印版)》及其辅助虚拟机，你将学习如何打包并部署Python应用程序和库文件，以及如何编写在多个Unix和Linux平台下都运行良好的代码。 通过这《Python在Unix和Linux系统管理中的应用(影印版)》，你将发现Python是怎样帮助你： ·读入文本文件并提取信息 ·使用线程和派生子进程的选项并发地运行多个任务 ·使用网络工具从一个进程传送信息到另一个进程 ·创建更易互动的可点击图形界面工具 ·通过与SNMP交互来用程序监控大型多个集群机器 ·掌握IPython的命令环境来替代或增强Bash、Korn或Z-Shell的功能 ·将云计算集成到基础架构中并编写一个基于谷歌应用程序引擎的应用 ·利用定制脚本来解决特殊的数据备份的挑战 ·使用Django、SQLAlchemy和Storm对象关系模型来与数据库交互

最权威的 Python 教程，由 Python 作者 Guido van Rossum 主笔，有少许学院味道。中文电子版由刘鑫、李梦夷翻译。英文原稿网址：http://docs.python.org/tut/简体中文版网址：http://wiki.woodpecker.org.cn/moin/March_Liu/PyTutorial

最权威的 Python 教程，由 Python 作者 Guido van Rossum 主笔，有少许学院味道。中文电子版由刘鑫、李梦夷翻译。英文原稿网址：http://docs.python.org/tut/简体中文版网址：http://wiki.woodpecker.org.cn/moin/March_Liu/PyTutorial

本书的叙述方式非常简单易懂，这里有实际应用的例子和完整的语言参考资料，内容具有权威性。可以指导你应用所有工具快速进行Python 2.1应用程序的开发。在本书中，Python的应用专家Dava Brueck和Stephen Tanner循序渐进地介绍了如何掌握Python组件、如何综合应用这些组件创建功能完整的应用程序并立即实际应用这些程序。本书不仅介绍了基础知识，如变量、表达式等，还说明了高级技术，如XML，多媒体和多线程应用。

Text Processing in Python describes techniques for manipulation of text using the Python programming language. At the broadest level, text processing is simply taking textual information and doing something with it. This might be restructuring or reformatting it, extracting smaller bits of information from it, or performing calculations that depend on the text. Text processing is arguably what most programmers spend most of their time doing. Because Python is clear, expressive, and object-oriented it is a perfect language for doing text processing, even better than Perl. As the amount of data everywhere continues to increase, this is more and more of a challenge for programmers. This book is not a tutorial on Python. It has two other goals: helping the programmer get the job done pragmatically and efficiently; and giving the reader an understanding - both theoretically and conceptually - of why what works works and what doesn't work doesn't work. Mertz provides practical pointers and tips that emphasize efficent, flexible, and maintainable approaches to the textprocessing tasks that working programmers face daily. From the Back Cover: Text Processing in Python is an example-driven, hands-on tutorial that carefully teaches programmers how to accomplish numerous text processing tasks using the Python language. Filled with concrete examples, this book provides efficient and effective solutions to specific text processing problems and practical strategies for dealing with all types of text processing challenges. Text Processing in Python begins with an introduction to text processing and contains a quick Python tutorial to get you up to speed. It then delves into essential text processing subject areas, including string operations, regular expressions, parsers and state machines, and Internet tools and techniques. Appendixes cover such important topics as data compression and Unicode. A comprehensive index and plentiful cross-referencing offer easy access to available information. In addition, exercises throughout the book provide readers with further opportunity to hone their skills either on their own or in the classroom. A companion Web site (http://gnosis.cx/TPiP) contains source code and examples from the book. Here is some of what you will find in thie book: * When do I use formal parsers to process structured and semi-structured data? Page 257 * How do I work with full text indexing? Page 199 * What patterns in text can be expressed using regular expressions? Page 204 * How do I find a URL or an email address in text? Page 228 * How do I process a report with a concrete state machine? Page 274 * How do I parse, create, and manipulate internet formats? Page 345 * How do I handle lossless and lossy compression? Page 454 * How do I find codepoints in Unicode? Page 465

本书是经典教程的全新改版，作者根据Python 3.0版本的种种变化，全面改写了书中内容，做到既能“瞻前”也能“顾后”。本书层次鲜明、结构严谨、内容翔实，特别是在最后几章，作者将前面讲述的内容应用到了10个引人入胜的项目中，并以模板的形式介绍了项目的开发过程。本书既适合初学者夯实基础，又能帮助Python程序员提升技能，即使是 Python方面的技术专家，也能从书里找到令你耳目一新的东西。

本书是经典教程的全新改版，作者根据Python 3.0版本的种种变化，全面改写了书中内容，做到既能“瞻前”也能“顾后”。本书层次鲜明、结构严谨、内容翔实，特别是在最后几章，作者将前面讲述的内容应用到了10个引人入胜的项目中，并以模板的形式介绍了项目的开发过程。本书既适合初学者夯实基础，又能帮助Python程序员提升技能，即使是 Python方面的技术专家，也能从书里找到令你耳目一新的东西。

本书由全球著名的程序语言培训专家精心编著，解释了如何将Python用作常规用途，编写多层、客户机/服务器结构、数据库密集型、基于Internet和Web的应用程序。书中采用作者独创的“活代码”教学方式，层层揭示了Python这一程序设计语言的强大功能，并通过穿插在全书各处的屏幕输出和编程技巧与提示，帮助读者搭建良好的知识结构、养成良好的编程习惯、避免常见的编程错误以及写出高效、可靠的应用程序。

本书由全球著名的程序语言培训专家精心编著，解释了如何将Python用作常规用途，编写多层、客户机/服务器结构、数据库密集型、基于Internet和Web的应用程序。书中采用作者独创的“活代码”教学方式，层层揭示了Python这一程序设计语言的强大功能，并通过穿插在全书各处的屏幕输出和编程技巧与提示，帮助读者搭建良好的知识结构、养成良好的编程习惯、避免常见的编程错误以及写出高效、可靠的应用程序。

Mark Pilgrim's Dive Into Python 3 is a hands-on guide to Python 3 (the latest version of the Python language) and its differences from Python 2. As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end. This book includes: * Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more * A detailed case study of porting a major library from Python 2 to Python 3 * A comprehensive appendix of all the syntactic and semantic changes in Python 3 This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away. What you'll learn * Understand Python 3 code by seeing it broken down and explained * Make full use of the latest Python features such as iterators, generators, closures, classes and comprehensions * Refactor existing code to improve maintainability * Learn how to serialize Python objects with the pickle protocol and JSON format * Learn how to package your own Python libraries and upload them to the Python Package Index to share your projects with Python developers worldwide * Use Python 3 to consume HTTP web services * Port existing Python applications to Python 3 by following a case study for a major library Who is this book for? * Anyone who wants to learn the latest version of Python in a fast, hands-on fashion * Existing Python programmers who want to learn quickly how to make the most of the features of the latest version of Python and port their code to it * Programmers coming from other languages wanting a fast introduction to Python that gets them thinking about advanced concepts quickly

Mark Pilgrim's Dive Into Python 3 is a hands-on guide to Python 3 (the latest version of the Python language) and its differences from Python 2. As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end. This book includes: * Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more * A detailed case study of porting a major library from Python 2 to Python 3 * A comprehensive appendix of all the syntactic and semantic changes in Python 3 This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away. What you'll learn * Understand Python 3 code by seeing it broken down and explained * Make full use of the latest Python features such as iterators, generators, closures, classes and comprehensions * Refactor existing code to improve maintainability * Learn how to serialize Python objects with the pickle protocol and JSON format * Learn how to package your own Python libraries and upload them to the Python Package Index to share your projects with Python developers worldwide * Use Python 3 to consume HTTP web services * Port existing Python applications to Python 3 by following a case study for a major library Who is this book for? * Anyone who wants to learn the latest version of Python in a fast, hands-on fashion * Existing Python programmers who want to learn quickly how to make the most of the features of the latest version of Python and port their code to it * Programmers coming from other languages wanting a fast introduction to Python that gets them thinking about advanced concepts quickly

本书是Python开发者的完全指南——针对 Python 2.5全面升级 ·学习专业的Python风格、最佳实践和好的编程习惯； ·加强对Python对象、内存模型和Python面向对象特性的深入理解； ·构建更有效的Web、CGI、互联网、网络和其他客户端/服务器架构应用程序及软件； ·学习如何使用Python中的Tkinter和其他工具来开发自己的GUI应用程序及软件； ·通过用C等语言编写扩展来提升Python应用程序的性能，或者通过使用多线程增强I/0相关的应用程序的能力； ·学习Python中有关数据库的API，以及如何在Python中使用各种不同的数据库系统，包括MySQL、Postgres和 SQLite。

本书是Python开发者的完全指南——针对 Python 2.5全面升级 ·学习专业的Python风格、最佳实践和好的编程习惯； ·加强对Python对象、内存模型和Python面向对象特性的深入理解； ·构建更有效的Web、CGI、互联网、网络和其他客户端/服务器架构应用程序及软件； ·学习如何使用Python中的Tkinter和其他工具来开发自己的GUI应用程序及软件； ·通过用C等语言编写扩展来提升Python应用程序的性能，或者通过使用多线程增强I/0相关的应用程序的能力； ·学习Python中有关数据库的API，以及如何在Python中使用各种不同的数据库系统，包括MySQL、Postgres和 SQLite。

Dive Into Python 是为有经验的程序员编写的一本 Python 书。

作为一门面向对象的开源编程语言，python易于理解和扩展，并且使用起来非常方便。《python编程入门经典》涵盖了python的方方面面，通过学习本书，读者可以立即使用python编写程序。作者james payne从python语言最基本的概念入手，重点介绍了python 2．6和3．1这两个版本的实际应用。通过对一些现有的python程序进行深入分析，读者能够快速上手。《python编程入门经典》涵盖的主题从字符串、列表和字典一直到类、对象和模块。掌握这些内容后，读者将学会如何迅速而自信地创建健壮、可靠而又可重用的python应用程序。 主要内容 ◆介绍用于存储和操作数据的变量的概念 ◆讨论用于读写数据的文件和输入／输出 ◆总结常被忽视的python功能 ◆深入研究如何为模块和程序编写测试 ◆介绍如何使用python编写gui ◆着重介绍xml、html、xsl和相关技术 ◆解释如何扩展python ◆分享数值编程技术 ◆介绍jython的内部机理，jython是一个用java编写的python版本

作为一门面向对象的开源编程语言，python易于理解和扩展，并且使用起来非常方便。《python编程入门经典》涵盖了python的方方面面，通过学习本书，读者可以立即使用python编写程序。作者james payne从python语言最基本的概念入手，重点介绍了python 2．6和3．1这两个版本的实际应用。通过对一些现有的python程序进行深入分析，读者能够快速上手。《python编程入门经典》涵盖的主题从字符串、列表和字典一直到类、对象和模块。掌握这些内容后，读者将学会如何迅速而自信地创建健壮、可靠而又可重用的python应用程序。 主要内容 ◆介绍用于存储和操作数据的变量的概念 ◆讨论用于读写数据的文件和输入／输出 ◆总结常被忽视的python功能 ◆深入研究如何为模块和程序编写测试 ◆介绍如何使用python编写gui ◆着重介绍xml、html、xsl和相关技术 ◆解释如何扩展python ◆分享数值编程技术 ◆介绍jython的内部机理，jython是一个用java编写的python版本

Learn Python The Hard Way is a book I wrote to teach programming to people who do not know how to code. It assumes you are probably a power user of your computer, and then takes you from nothing to programming simple games. After reading my book you should be ready for many of the other programming books out there.

Learn Python The Hard Way is a book I wrote to teach programming to people who do not know how to code. It assumes you are probably a power user of your computer, and then takes you from nothing to programming simple games. After reading my book you should be ready for many of the other programming books out there.

作为主流的动态语言，Python不仅简单易学、移植性好，而且拥有强大丰富的库的支持。此外，Python强大的可扩展性，让开发人员既可以非常容易地利用C/C++编写Python的扩展模块，还能将Python嵌入到C/C++程序中，为自己的系统添加动态扩展和动态编程的能力。. 为了更好地利用Python语言，无论是使用Python语言本身，还是将Python与C/C++交互使用，深刻理解Python的运行原理都是非常重要的。本书以CPython为研究对象，在C代码一级，深入细致地剖析了Python的实现。书中不仅包括了对大量Python内置对象的剖析，更将大量的篇幅用于对Python虚拟机及Python高级特性的剖析。通过此书，读者能够透彻地理解Python中的一般表达式、控制结构、异常机制、类机制、多线程机制、模块的动态加载机制、内存管理机制等核心技术的运行原理，同时，本书所揭示的动态语言的核心技术对于理解其他动态语言，如 Javascript、Ruby等也有较大的参考价值。.. 本书适合于Python程序员、动态语言爱好者、C程序员阅读

作为主流的动态语言，Python不仅简单易学、移植性好，而且拥有强大丰富的库的支持。此外，Python强大的可扩展性，让开发人员既可以非常容易地利用C/C++编写Python的扩展模块，还能将Python嵌入到C/C++程序中，为自己的系统添加动态扩展和动态编程的能力。. 为了更好地利用Python语言，无论是使用Python语言本身，还是将Python与C/C++交互使用，深刻理解Python的运行原理都是非常重要的。本书以CPython为研究对象，在C代码一级，深入细致地剖析了Python的实现。书中不仅包括了对大量Python内置对象的剖析，更将大量的篇幅用于对Python虚拟机及Python高级特性的剖析。通过此书，读者能够透彻地理解Python中的一般表达式、控制结构、异常机制、类机制、多线程机制、模块的动态加载机制、内存管理机制等核心技术的运行原理，同时，本书所揭示的动态语言的核心技术对于理解其他动态语言，如 Javascript、Ruby等也有较大的参考价值。.. 本书适合于Python程序员、动态语言爱好者、C程序员阅读