1. Regular expressions have their roots in formal language theory but are widely used in practice for tasks like data extraction and transformation. 2. They allow specifying patterns to match text, capture subgroups, and transform matches using backreferences. 3. While powerful, regular expressions can be difficult to get right and require balancing expressiveness with avoiding false positives and negatives. It is often best to use regular expressions for syntax and code for semantic validation.