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regex-mastery

Regular expression patterns, common use cases, and debugging. Use when the user asks about writing regex, parsing text patterns, validating input with regex, or understanding/fixing regular expressions.

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Regex Mastery

Core Syntax

PatternMatches
.Any character except newline
\dDigit [0-9]
\DNon-digit
\wWord character [a-zA-Z0-9_]
\WNon-word character
\sWhitespace
\SNon-whitespace
\bWord boundary
^Start of string/line
$End of string/line

Quantifiers

PatternMeaning
*0 or more
+1 or more
?0 or 1 (also: lazy when after quantifier)
{n}Exactly n
{n,}n or more
{n,m}Between n and m
*?, +?Lazy (non-greedy) versions

Character Classes

[abc]      → a, b, or c
[^abc]     → not a, b, or c
[a-z]      → lowercase letter
[A-Za-z]   → any letter
[0-9]      → digit
[^0-9]     → non-digit

Groups and Capturing

(abc)           → capturing group 1
(?:abc)         → non-capturing group
(?<name>abc)    → named group
\1              → backreference to group 1

Common Patterns

Email

[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}

URL

https?:\/\/[^\s/$.?#].[^\s]*

Phone (US)

\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}

IP Address (v4)

\b\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}\b

Date (YYYY-MM-DD)

\d{4}-(?:0[1-9]|1[0-2])-(?:0[1-9]|[12]\d|3[01])

Hex Color

#(?:[0-9a-fA-F]{3}){1,2}\b

Strong Password

^(?=.*[a-z])(?=.*[A-Z])(?=.*\d)(?=.*[@$!%*?&])[A-Za-z\d@$!%*?&]{8,}$

HTML Tag

<([a-z]+)([^<]*)(?:>(.*)<\/\1>|\s*\/>)

Markdown Link

\[([^\]]+)\]\(([^)]+)\)

Lookaheads and Lookbehinds

(?=abc)    → positive lookahead: abc must follow
(?!abc)    → negative lookahead: abc must NOT follow
(?<=abc)   → positive lookbehind: abc must precede
(?<!abc)   → negative lookbehind: abc must NOT precede

Examples

\b\w+(?=\s+account)  → word before "account"
(?<=@)[\w.-]+        → domain part of email
(?<!\w)the(?!\w)      → "the" as standalone word

Flags

FlagEffect
gGlobal (all matches)
iCase-insensitive
mMultiline (^/$ match line boundaries)
sDotall (. matches newline)
uUnicode

Python Examples

import re

# Find all emails
emails = re.findall(r'[\w.+-]+@[\w-]+\.[\w.-]+', text)

# Search with groups
match = re.search(r'(\d{4})-(\d{2})-(\d{2})', 'Born 1990-05-15')
if match:
    year, month, day = match.groups()

# Replace
result = re.sub(r'\bfoo\b', 'bar', text, flags=re.IGNORECASE)

# Split
words = re.split(r'[,;\s]+', 'hello, world;  foo   bar')

# Compile for reuse
EMAIL_RE = re.compile(r'[\w.+-]+@[\w-]+\.[\w.-]+')
all_emails = EMAIL_RE.findall(text)

JavaScript Examples

// Test pattern
/^[a-z]+$/i.test("Hello")  // false

// Match with flags
"Hello World".match(/\b\w+\b/g)  // ["Hello", "World"]

// Replace
"foo bar foo".replace(/\bfoo\b/g, "baz")  // "baz bar baz"

// Named groups
"2024-01-15".match(/(?<year>\d{4})-(?<month>\d{2})-(?<day>\d{2})/)

// Validate
const isValidEmail = /^[^\s@]+@[^\s@]+\.[^\s@]+$/.test(email)

Debugging Tips

  1. Use regex101.com for testing and explanation
  2. Start simple, add complexity incrementally
  3. Use non-capturing groups (?:...) when you don't need the capture
  4. Use named groups for readability: (?P<name>...)
  5. Avoid catastrophic backtracking: don't nest quantifiers like (a+)+
  6. Use \b word boundaries for whole-word matching
  7. Prefer .*? (lazy) over .* (greedy) when you want minimal match

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