Regular expressions are a powerful tool for manipulating textual information, allowing you to perform the sophisticated processing you describe. Before I explain the solution, let's back up one step ...

How to use the regular expression functions provided by the ‘re’ library to match, search, and replace text in your Python programs. Regular expressions, or “regex,” is a system for finding complex ...

Introducing ArkRegex: a revolutionary drop-in for JavaScript's RegExp that ensures type safety in regular expressions without ...

If you’ve programmed in Perl or any other language with built-in regular-expression capabilities, then you probably know how much easier regular expressions make text processing and pattern matching.

If you consider yourself a good cook, you may or may not know how to make a souffle or baklava. But there are certain things you probably do know how to do that form the basis of many recipes. For ...

Regular expressions are like power tools: They may look scary, but are easy to use once you understand their basic building blocks. Regular expressions -- those scary strings that might as well be ...

Quick: If you shout "regular expressions" in a crowd of Linux users, what happens? Answer: Everyone will tell you the right way to use them, and every answer will be different. Regular expressions -- ...

Regular expressions have been part of the programmer’s toolkit for a long time, with their creation by Stephen Cole King in 1951. Their ability to match word patterns make them a powerful tool for ...

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 they ...

Regular expressions — the things you feed to programs like grep — are a bit like riding a bike. It seems impossible until you learn to do it, and then it’s easy. Part of their bad reputation is ...