Regular Expression (abbreviated Regex/RegExp) is a text pattern language that uses a single string to describe and match a series of strings conforming to certain syntactic rules. Its history dates back to the 1950s when neuroscientist Warren McCulloch and mathematician Walter Pitts proposed a mathematical model of neurons; later mathematician Stephen Kleene built on this in 1956 to describe "regular sets" algebraically. Ken Thompson, father of Unix, first implemented regular expressions in the QED editor in the late 1960s, after which regex became a core feature of the Unix toolchain (grep, sed, awk, vi).
In modern programming languages, regular expressions are nearly ubiquitous — JavaScript's RegExp, Python's re module, Java's java.util.regex, .NET's Regex class, Go's regexp package all provide regex support. Regex is widely used in form validation (email/phone/ID), text search & replace (editor find/replace), log analysis (ERROR log extraction), web scraping (HTML content extraction), data cleaning (ETL), route matching, input filtering, and security (WAF rules).
Core regex concepts include: character classes (\d digit, \w word char, \s whitespace), quantifiers (* zero or more, + one or more, ? zero or one, {n,m} specified times), anchors (^ start, $ end, \b word boundary), groups ((...) capture group, (?:...) non-capture group, (?<name>...) named group), alternation (|), character sets ([a-z]), lookaround ((?=...) positive lookahead, (?!...) negative lookahead), etc. Mastering regex can greatly improve text processing efficiency, but watch out for performance pitfalls like ReDoS.