Regular expressions (often called "regex") are powerful tools for pattern matching and text processing. They help developers, data analysts, and system administrators find, extract, and transform text with concise, expressive patterns. While regex syntax can become quite intricate when dealing with lookaheads, lookbehinds, named groups, and backreferences, the

Table of Contents * Introduction * What is a Query? * What is a Transform? * Key Differences Between Transform and Query * Use Cases Across Different Domains * Data Processing & Machine Learning * Web Development * Generative Art & Computational Design * Social Media & Content Automation * Best Practices for Using Transform and Query * Conclusion Introduction When