Regular expressions provide a concise and flexible means for identifying strings of text of interest, such as particular characters, words, or patterns of characters. With regular expressions, a technical editor may perform powerful search and replace techniques to transform data, such as reorganizing tables or removing particular data from documents in a single command.
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Regular expressions, sometimes referred to as regex, grep, or pattern matching, can be a very powerful tool and a tremendous time-saver with a broad range of application. As an extended form of find-and-replace, you can use a regular expression to do things such as perform client-side validation of email addresses and phone numbers, search multiple documents for strings and patterns you wish to change or remove, or extract a list of links from source code. Regex is supported by most languages and tools, but because there can be varying implementations, this article will cover basic principles that are commonly used.
Spruck, Chris. evolt (2005). Articles>Editing>Search>Regular Expressions
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InDesign CS3: Search Using GREP Expressions 
On the GREP tab of the InDesign Find/Change dialog box, you can construct GREP expressions to find alphanumeric strings and patterns in long documents or many open documents. You can enter the GREP metacharacters manually or choose them from the Special Characters For Search list. GREP searches are case-sensitive by default.
Adobe (2006). Articles>Editing>Regular Expressions>Adobe InDesign
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Regular Expression Tutorial - Learn How to Use Regular Expressions
Basically, a regular expression is a pattern describing a certain amount of text. Their name comes from the mathematical theory on which they are based. In this tutorial, I will teach you all you need to know to be able to craft powerful time-saving regular expressions. I will start with the most basic concepts, so that you can follow this tutorial even if you know nothing at all about regular expressions yet.
RegularExpressions.info. Reference>Editing>Search>Regular Expressions
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Regular Expressions for Client-Side JavaScript
Here is the syntax for a very powerful and very cryptic string pattern matching scheme in the client-side JavaScript of web browsers. You can use it to validate form entry, parse URLs, and many other things.
Visibone (2007). Reference>Editing>Regular Expressions>JavaScript
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regular expressions provide a concise and flexible means for identifying strings of text of interest, such as particular characters, words, or patterns of characters. Regular expressions (abbreviated as regex or regexp, with plural forms regexes, regexps, or regexen) are written in a formal language that can be interpreted by a regular expression processor, a program that either serves as a parser generator or examines text and identifies parts that match the provided specification.
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Regular Expressions - a Simple User Guide
There is no gentle beginning to regular expressions. You are either into hieroglyphics big time - in which case you will love this stuff - or you need to use them in which case a headache may be your only reward.
Zytrax (2009). Articles>Editing>Search>Regular Expressions
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Speaking UNIX, Part 9: Regular Expressions
Virtually all non-trivial problems require you to filter good data from bad. Discover the many UNIX command line utilities that use regular expressions to discern the relevant from the irrelevant.
Streicher, Martin. IBM (2007). Articles>Editing>Regular Expressions>UNIX
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Regular Expressions Cheat Sheet
This PDF is not a guide to any specific language, and so would be great for developers who do not code in any specific language (or who code in more than one language).
Added Bytes (2007). Resources>Documentation>Programming>Regular Expressions
