Regular expressions (“regex’s” for short) are sets of symbols and syntactic elements used to match patterns of text. Even these simple examples testify to the power of regular expressions.

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 are like power tools: They may look scary, but are easy to use once you understand their basic building blocks.

Regular expressions are a way to describe patterns of text that can be useful for processing text documents or wherever one might want to look for a pattern and possibly replace another ...

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.

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

Yes, regular expressions have been part of VBA for a while now, but the new functions allow you to use regexes right in the spreadsheet grid. There are plenty of caveats, of course.

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 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.