Extract substrings from a block of text
-
Updated
Jan 24, 2016 - Ruby
A regular expression (shortened as regex or regexp), sometimes referred to as rational expression, is a sequence of characters that specifies a match pattern in text. Usually such patterns are used by string-searching algorithms for "find" or "find and replace" operations on strings, or for input validation.
Regular expression techniques are developed in theoretical computer science and formal language theory. They are used in search engines, in search and replace dialogs of word processors and text editors, in text processing utilities such as sed and AWK, and in lexical analysis. Regular expressions are also supported in many programming languages.
Different syntaxes for writing regular expressions have existed since the 1980s, one being the POSIX standard and another, widely used, being the Perl syntax.
Extract substrings from a block of text
Regular expressions - form validation
Use the pattern-matching Force.
Regular expression info and preprocessing toolkit
.Net-style Regular Expression Library for Delphi 2009 or later
Group project for Web Design module of HDip in Science in Computing (Cyber Security)
Datasette plugin that adds a custom SQL function for executing matches using the Rust regular expression engine
Algorithms and data structures
RegEx Parser in Go
A prototype Python module for generating regular expressions from linear grammars
Library for defining and working with abstract regular expressions that support strings/sequences with elements of any symbol type, with an emphasis on supporting scenarios in which it is necessary to work with regular expressions as abstract mathematical objects.
This repository is to serve as a guide to regular expressions and is a collation of resources found on the web.
Console application. Consumes a string which represents a regular expression. Produces DFA based on that expression. Then it can consume any string and answer whether that word is matched to expression or not.
⚓ Regular Expression Collection
Creation of an automated pipeline that extracts and transforms movie data from Wikipedia, Kaggle, and MovieLens. The cleaned data is loaded into a PostgreSQL database.
This is a Web Scraping Project -- Finding the best GPU prices using Beautiful Soup
HTML/CSS Form using JavaScript for form validation
This repository to develop regular expressions for Microsoft Excel
A collection of solutions to various challenge questions from HackerRank 🎓. Domains: MySQL and Regular Expressions (Regex)