Now that we know how to work with regular expressions and the different methods that are available to interact with, let’s spend some time building regular expressions to match the patterns we want.

Pattern matching is an important technique used in text processing, and Regex is here to help. Find out how to use the Pattern class and constructs like quantifiers and boundary matchers to ...

If you work with text, you owe it to yourself to learn regular expressions, and Patterns can help you do that--as well as figure out exactly what your search patterns are capturing.

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 ...

Javascript’s regular expression library is becoming world class, guaranteeing that the odd little pattern language will likely be around for generations to come.

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

The most important regular expression to nail down is the pattern for branded keywords. User behavior for queries involving brand terms is going to be quite different than other queries.

Pattern Matching Using Regular Expression (RX) Functions and CALL Routines You can use a special group of functions and CALL routines to match or change data according to a specific pattern that you ...

I use the example provided by Regular Expressions Cookbook Recipe 3.1 (“Literal Regular Expressions in Source Code”) to illustrate the advantages of Groovy in Pattern representation of a ...

There is also a reason why using regular expressions can sometimes be called "prayer-based parsing" because, if not used properly, you could inadvertently allow the wrong data if your RegEx pattern ...