One of the key focus areas in software development today is working on and analyzing (big) data streams. Every programming language needs to have some support for these kinds of tasks. Most languages use regular expressions (in short, regex (https://www.regular-expressions.info/examples.html)) for such tasks. These expressions match patterns in string data using a specialized formal syntax, which often comes across as an awkward addition to the code.
Red takes a different approach. While Red offers all series operations for working with data, it also has its own domain-specific language (DSL) or dialect called parse, specifically built for text and data processing. The parsing engine is implemented in Red/System. It has its own specific words and syntax, but embedded in other Red code it feels very natural. Parse code itself is much more human-readable and maintainable...
