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  1. Regular Expression Language - Quick Reference - .NET

    Jun 18, 2022 · In this quick reference, learn to use regular expression patterns to match input text. A pattern has one or more character literals, operators, or constructs.

  2. RegEX Cheat Sheet & Quick Reference

    A quick reference for regular expressions (regex), including symbols, ranges, grouping, assertions and some sa

  3. Regular Expressions Quick Reference

    Oct 29, 2025 · Quick reference of the various syntactic elements that can appear in regular expressions

  4. Regular expression syntax cheat sheet - JavaScript | MDN

    3 days ago · This page provides an overall cheat sheet of all the capabilities of RegExp syntax by aggregating the content of the articles in the RegExp guide. If you need more information on a …

  5. Quick-Start: Regex Cheat Sheet - rexegg.com

    Regular Expressions Syntax Reference. Includes tables showing syntax, examples and matches.

  6. Regex Cheat Sheet (Quick Reference With Copy-Ready Patterns)

    A complete regex cheat sheet with copy-ready patterns for character classes, quantifiers, groups, lookaheads, escapes, and everyday use cases. Includes examples for JavaScript, Python, and most …

  7. Regex Cheatsheet - Complete Regular Expression Reference

    Comprehensive regex cheatsheet with syntax reference, character classes, quantifiers, anchors, and common patterns. Quick reference guide for regular expressions with examples and explanations.

  8. Python Regex Cheat Sheet – Dataquest

    This regular expressions cheat sheet provides a quick reference for essential RegEx constructs, helping you perform text pattern matching and manipulation with ease.

  9. regex101: build, test, and debug regex

    Regular expression tester with syntax highlighting, explanation, cheat sheet for PHP/PCRE, Python, GO, JavaScript, Java, C#/.NET, Rust.

  10. Regex Cheat Sheet - Quick Reference Guide - devtooleasy.com

    A comprehensive reference guide for Regular Expressions (regex) with patterns, examples, and detailed explanations. Perfect for developers, data analysts, and anyone working with text processing.