Course Content
State Management
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Regular Expressions?
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About Lesson

What is regular expression:

Regular expressions, often abbreviated as regex or regexp, are powerful tools for pattern matching and text manipulation. They are used in many programming languages, including PHP, to search for and manipulate text based on patterns.

Basic Components of Regular Expressions:

Literals: Characters or sequences of characters that match themselves.

Metacharacters: Special characters with predefined meanings in regular expressions.

Quantifiers: Specify the number of occurrences of a character or group in a pattern.

Anchors: Specify positions in the text, such as the beginning or end of a line.

Character Classes: Define sets of characters to match.

Grouping Constructs: Enclose patterns to create subexpressions or capture groups.

Modifiers: Control how the pattern matching is performed.

Common Regular Expression Functions in PHP:

preg_match(): Performs a regular expression match against a string and returns true if a match is found.

preg_replace(): Searches a string for a pattern and replaces it with another string.

preg_split(): Splits a string into an array using a regular expression.

preg_match_all(): Performs a global regular expression match and returns all matches.

Example:

Suppose we want to extract all email addresses from a text using a regular expression:

PHP
<?php

$text = "Send an email to john@example.com and jane@example.com";

$pattern = '/b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+.[A-Z|a-z]{2,}b/';

preg_match_all($pattern, $text, $matches);

print_r($matches[0]);

?>

// Output: Array ( [0] => john@example.com [1] => jane@example.com )

Useful Resources:

Regex101: An online tool for testing and explaining regular expressions.

PHP Manual: The official PHP documentation provides detailed information on regex functions and syntax.

Regular expressions are versatile tools for text processing and pattern matching tasks in PHP and other programming languages. With practice and understanding, you can leverage regex to efficiently manipulate text according to specific patterns and requirements.