In the hands of the skilled, regular expressions are very powerful and offer a quick way to split apart text data. Like a lot of powerful ideas, the basic concept — that of a finite state ...

Working with regular expressions I’m also going to cover how to work with regular expressions in JavaScript, though the concepts learned here apply to other languages as well.

Many tools use regular expressions and the core syntax is the same. The source of confusion is that the details beyond core syntax have variations.

Regular expressions amplify the power of traditional search-and-replace commands by letting you search for patterns of text and then selectively modify what you’ve found.

I answered that Groovy uses Java’s regular expression support and adds a few nifty features of its own to make regular expressions easier to apply.

Regular expressions come in handy for all varieties of text processing, but are often misunderstood--even by veteran developers. Here's a look at intermediate-level regular expressions and what ...

Regular expressions are such a tool. Roughly speaking, a regular expression (or regexp) is a string that describes another string or a group of strings. Several applications can profit from this ...

However, regular expression functions are available in many programming languages that allow for complex pattern matching and text manipulation.

Using Regular Expressions Within Google Analytics I’m going to focus on search keywords using Google Analytics because it has the best support for regular expressions.

When working with regular expressions in a shell script the norm is to use grep or sed or some other external command/program. Since version 3 of bash (released in 2004) there is another option: ...