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Regular Expressions

Master pattern matching with regex. Learn to search, validate, and manipulate text using the re module.

By TechCoder TeamLast updated: 2026-10-17
In a Nutshell

Master pattern matching with regex. Learn to search, validate, and manipulate text using the re module. This hands-on tutorial focuses on practical implementation of regular expressions concepts.

Regular Expressions

Regular Expressions (regex) are powerful patterns for matching and manipulating text.

Basic Patterns

PatternMatchesExample
.Any charactera.c matches "abc", "a1c"
*0 or moreab*c matches "ac", "abc", "abbc"
+1 or moreab+c matches "abc", "abbc" (not "ac")
?0 or 1ab?c matches "ac", "abc"
^Start of string^Hello matches "Hello world"
$End of stringworld$ matches "Hello world"

Character Classes

PatternMatches
[abc]a, b, or c
[a-z]Any lowercase letter
[A-Z]Any uppercase letter
[0-9]Any digit
\dDigit (same as [0-9])
\wWord character (letter, digit, underscore)
\sWhitespace
\DNon-digit
\WNon-word character
\SNon-whitespace

The re Module

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Common Patterns

Email Validation

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Phone Number Extraction

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Capture Groups

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re.sub() - Find and Replace

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Regex Flags

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Coding Challenge: Log Parser 📋

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AI Mentor

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Quiz

Quiz

Question 1 of 5

What does the + quantifier mean?

0 or more occurrences
1 or more occurrences
Exactly one occurrence
0 or 1 occurrence

Key Takeaways

✅ Regex patterns match text using special syntax.
✅ re.search() finds first match, re.findall() finds all.
✅ Character classes like \d, \w, \s match common patterns.
✅ Capture groups () extract parts of matches.
✅ re.sub() replaces matched text.

What's Next?

In the next lesson, we'll learn about Iterators & Generators - memory-efficient ways to work with sequences.

Keep coding! 🚀