理解正则表达式：入门指南

5星 · 超过95%的资源 | 下载需积分: 9 | PDF格式 | 11.74MB | 更新于2024-07-24 | 196 浏览量 | 举报

"Introducing Regular Expressions - Michael Fitzgerald" 在IT领域，正则表达式（Regular Expressions）是一种强大的文本处理工具，广泛应用于数据验证、搜索、替换和提取等多种任务。本书"Introducing Regular Expressions"由Michael Fitzgerald撰写，旨在帮助读者以简单易懂的方式入门正则表达式。正则表达式是一种特殊的字符序列，能够描述一系列的字符串模式。通过使用元字符和量词，我们可以构建复杂的匹配规则，以高效地处理大量文本数据。例如，简单的正则表达式".at"可以用来匹配任何包含".at"子串的字符串，无论它出现在字符串的哪个位置。书中的内容可能涵盖了以下几个关键概念： 1. **基础符号**：包括"."（匹配任意字符，除了换行符）、"*"（匹配前面的元素零次或多次）、"+"（匹配前面的元素一次或多次）和"?"（匹配前面的元素零次或一次）。 2. **字符类**：如"[abc]"用于匹配括号内的任意一个字符，"[^abc]"则匹配非括号内的任何字符。 3. **重复**："{n}"表示匹配前面的元素n次，"{n,}"表示至少n次，"{n,m}"表示n到m次。 4. **分组**：使用"( )"来创建一个分组，可以对一组字符应用重复或其他操作。 5. **选择**：使用"|"(竖线)表示或操作，如"a|b"将匹配'a'或'b'。 6. **锚点**："^"表示字符串的开始，"$"表示字符串的结束，确保匹配整个字符串的特定部分。 7. **量词修饰符**："?"、"*"、"+"也可以用作非贪婪模式，如"?*"、"*?"、"+?"，它们会尽可能少地匹配字符。 8. **反向引用**：在分组中，"\n"可以引用第n个分组匹配的文本。 9. **预定义字符类**：如`\d`代表数字，`\D`代表非数字，`\s`代表空白字符，`\S`代表非空白字符等。此外，书中可能还会涉及正则表达式在各种编程语言中的实现差异，如JavaScript、Python、Perl等，并提供实际案例来加深理解。读者可能还会学习如何在命令行工具（如grep、sed和awk）中使用正则表达式，以及如何在开发环境中调试和测试正则表达式。 "Introducing Regular Expressions"是一本适合初学者的指南，它通过清晰的解释和实例，帮助读者掌握这一强大工具，从而提升他们在处理文本数据时的效率和准确性。

Chapter 10 shows you a slightly more sophisticated regular expression

for a phone number, but the one above is sufficient for the purposes of

this chapter.

If you don’t get how that all works yet, don’t worry: I’ll explain the whole expression

a little at a time in this chapter. If you will just follow the examples (and those through-

out the book, for that matter), writing regular expressions will soon become second

nature to you. Ready to find out for yourself?

I at times represent Unicode characters in this book using their code point—a four-

digit, hexadecimal (base 16) number. These code points are shown in the form

U+0000. U+002E, for example, represents the code point for a full stop or period (.).

Getting Started with Regexpal

First let me introduce you to the Regexpal website at http://www.regexpal.com. Open

the site up in a browser, such as Google Chrome or Mozilla Firefox. You can see what

the site looks like in Figure 1-1.

You can see that there is a text area near the top, and a larger text area below that. The

top text box is for entering regular expressions, and the bottom one holds the subject

or target text. The target text is the text or set of strings that you want to match.

At the end of this chapter and each following chapter, you’ll find a

“Technical Notes” section. These notes provide additional information

about the technology discussed in the chapter and tell you where to get

more information about that technology. Placing these notes at the end

of the chapters helps keep the flow of the main text moving forward

rather than stopping to discuss each detail along the way.

Matching a North American Phone Number

Now we’ll match a North American phone number with a regular expression. Type the

phone number shown here into the lower section of Regexpal:

707-827-7019

Do you recognize it? It’s the number for O’Reilly Media.

Let’s match that number with a regular expression. There are lots of ways to do this,

but to start out, simply enter the number itself in the upper section, exactly as it is

written in the lower section (hold on now, don’t sigh):

707-827-7019

2 | Chapter 1: What Is a Regular Expression?

You can limit the range of digits more precisely and get the same result using a more

specific list of digits to match, such as the following:

[012789]

This will match only those digits listed, that is, 0, 1, 2, 7, 8, and 9. Try it in the upper

box. Once again, every digit in the lower box will be highlighted in alternating colors.

To match any 10-digit, North American phone number, whose parts are separated by

hyphens, you could do the following:

[0-9][0-9][0-9]-[0-9][0-9][0-9]-[0-9][0-9][0-9][0-9]

This will work, but it’s bombastic. There is a better way with something called a

shorthand.

Using a Character Shorthand

Yet another way to match digits, which you saw at the beginning of the chapter, is with

\d which, by itself, will match all Arabic digits, just like [0-9]. Try that in the top section

and, as with the previous regular expressions, the digits below will be highlighted. This

kind of regular expression is called a character shorthand. (It is also called a character

escape, but this term can be a little misleading, so I avoid it. I’ll explain later.)

To match any digit in the phone number, you could also do this:

\d\d\d-\d\d\d-\d\d\d\d

Repeating the \d three and four times in sequence will exactly match three and four

digits in sequence. The hyphen in the above regular expression is entered as a literal

character and will be matched as such.

What about those hyphens? How do you match them? You can use a literal hyphen (-)

as already shown, or you could use an escaped uppercase D (\D), which matches any

character that is not a digit.

This sample uses \D in place of the literal hyphen.

\d\d\d\D\d\d\d\D\d\d\d\d

Once again, the entire phone number, including the hyphens, should be highlighted

this time.

Matching Any Character

You could also match those pesky hyphens with a dot (.):

\d\d\d.\d\d\d.\d\d\d\d

The dot or period essentially acts as a wildcard and will match any character (except,

in certain situations, a line ending). In the example above, the regular expression

matches the hyphen, but it could also match a percent sign (%):

Matching Any Character | 5

剩余151页未读，继续阅读

maybepossible

粉丝: 33

理解正则表达式：入门指南

Introducing Regular Expressions pdf

Introducing Regular Expressions 无水印pdf

Introducing Regular Expressions JavaScript and TypeScript 无水印pdf

introducing python by bill lubanovic

Introducing Convolutions to Vision Transformers

introducing python pdf

github入门 [introducing github]

cvt: introducing convolutions to vision transformers

introducing erlang: getting started in functional programming

linux block io: introducing multi-queue ssd access on multi-core systems

最新资源