精通正则表达式第三版：掌握文本和数据处理的强大工具

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精通正则表达式英文原版-第3版正则表达式是一种功能强大的工具，用于操纵文字和数据。它们现在已经成为多种语言和流行工具的标准功能，如 Perl、Python、Ruby、Java、VB.NET 和 C#（包括使用 .NET Framework 的任何语言）、PHP 和 MySQL。本书将带领读者踏入正则表达式的世界，展示如何使用正则表达式来操纵文字和数据。即使您已经使用正则表达式，但本书仍将提供前所未有的详细信息和广泛的覆盖范围。如果您认为自己已经掌握了正则表达式的所有知识，本书将让您眼前一亮，发现更多的可能性。正则表达式的重要性在于，它允许开发者编写复杂的文字处理代码，让开发者可以自动完成以前认为不可能自动化的任务。正则表达式可以节省时间和烦恼，帮助开发者编写优雅的解决方案，以解决各种问题。本书将详细介绍正则表达式的基础知识和高级技术，包括字符类、量词、分组、断言、模式匹配等概念。同时，本书还将展示如何使用正则表达式来解决实际问题，如文本搜索、字符串替换、数据提取等。本书将帮助读者掌握正则表达式的艺术，提高开发效率，提高文字和数据处理能力。知识点： 1. 正则表达式的定义和应用 2. 字符类和量词的使用 3. 分组和断言的使用 4. 模式匹配和文本搜索 5. 正则表达式在文字和数据处理中的应用 6. 使用正则表达式解决实际问题的方法本书提供了一个系统的正则表达式学习指南，适合初学者和高级开发者使用。

I also use visual tab, newline, and carriage-return characters:

At times, I use underlining or shade the background to highlight parts of

literal text or a regular expression. In this example the underline shows

where in the text the expression actually matches:

Because cat matches 'It•indi es•your•cat•is⋯' instead of the word

'cat', we realize...

In this example the underlines highlight what has just been added to an

expression under discussion:

To make this useful, we can wrap Subject|Date with parentheses, and

append a colon and a space. This yields Subject|Date .

This book is full of details and examples, so I've included over 1,200 cross

references to help you get the most out of it. They often appear in the text

in a "☞123" notation, which means "see page 123." For example, it might

appear like "... is described in Table 8-2 (☞367)."

Exercises

Occasionally, and particularly in the early chapters, I'll pose a question to

highlight the importance of the concept under discussion. They're not there

just to take up space; I really do want you to try them before continuing.

Please. So as not to dilute their importance, I've sprinkled only a few

throughout the entire book. They also serve as checkpoints: if they take more

than a few moments, it's probably best to go over the relevant section again

before continuing on.

To help entice you to actually think about these questions as you read them,

I've made checking the answers a breeze: just turn the page. Answers to

questions marked with ❖ are always found by turning just one page. This way,

they're out of sight while you think about the answer, but are within easy

reach.

Writing the first edition of this book was a grueling task that took two and a

half years and the help of many people. After the toll it took on my health and

sanity, I promised that I'd never put myself through such an experience again.

I have many people to thank in helping me break that promise. Foremost is

my wife, Fumie. If you find this book useful, thank her; without her support

and understanding, I'd have neither the strength nor sanity to undertake a

task as arduous as the research, writing, and production of a book like this.

While researching and writing this book, many people helped educate me on

languages or systems I didn't know, and more still reviewed and corrected

drafts as the manuscripts developed.

In particular, I'd like to thank my brother, Stephen Friedl, for his meticulous

and detailed reviews along the way. (Besides being an excellent technical

reviewer, he's also an accomplished writer, known for his well-researched "Tech

Tips," available at http://www.unixwiz.net/)

I'd also like to thank Zak Greant, Ian Morse, Philip Hazel, Stuart Gill, William

F. Maton, and my editor, Andy Oram.

Special thanks for providing an insider's look at Java go to Mike "madbot"

McCloskey (formerly at Sun Microsystems, now at Google), and Mark Reinhold

and Dr. Cliff Click, both of Sun Microsystems. For .NET insight, I'd like to thank

Microsoft's David Gutierrez, Kit George, and Ryan Byington. I thank Andrei

Zmievski of Yahoo! for providing insights into PHP.

I'd like to thank Dr. Ken Lunde of Adobe Systems, who created custom

characters and fonts for a number of the typographical aspects of this book.

The Japanese characters are from Adobe Systems' Heisei Mincho W3 typeface,

while the Korean is from the Korean Ministry of Culture and Sports Munhwa

typeface. It's also Ken who originally gave me the guiding principle that

governs my writing: "you do the research so your readers don't have to."

For help in setting up the server for http://regex.info, I'd like to thank Jeffrey

Papen and Peak Web Hosting (http://www.PeakWebhosting.com/).

Chapter 1. Introduction to Regular Expressions

Here's the scenario: you're given the job of checking the pages on a web

server for doubled words (such as "this this"), a common problem with

documents subject to heavy editing. Your job is to create a solution that will:

Accept any number of files to check, report each line of each file that has

doubled words, highlight (using standard ANSI escape sequences) each

doubled word, and ensure that the source filename appears with each line

in the report.

Work across lines, even finding situations where a word at the end of one

line is repeated at the beginning of the next.

Find doubled words despite capitalization differences, such as with 'The

the⋯', as well as allow differing amounts of whitespace (spaces, tabs,

newlines, and the like) to lie between the words.

Find doubled words even when separated by HTML tags. HTML tags are for

marking up text on World Wide Web pages, for example, to make a word

bold: '⋯it is <B>very</B> very important⋯'.

That's certainly a tall order! But, it's a real problem that needs to be solved. At

one point while working on the manuscript for this book, I ran such a tool on

what I'd written so far and was surprised at the way numerous doubled words

had crept in. There are many programming languages one could use to solve

the problem, but one with regular expression support can make the job

substantially easier.

Regular expressions are the key to powerful, flexible, and efficient text

processing. Regular expressions themselves, with a general pattern notation

almost like a mini programming language, allow you to describe and parse

text. With additional support provided by the particular tool being used,

regular expressions can add, remove, isolate, and generally fold, spindle, and

mutilate all kinds of text and data.

It might be as simple as a text editor's search command or as powerful as a

full text processing language. This book shows you the many ways regular

expressions can increase your productivity. It teaches you how to think regular

expressions so that you can master them, taking advantage of the full

magnitude of their power.

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精通正则表达式第三版：掌握文本和数据处理的强大工具

精通正则表达式(第3版)（含awz3 mobi epub）

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