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 - [Decorators/\*args/**kwargs](decorator-kwargs-args.md)
 - [Working with Dates & Times in Python](dates_and_times.md)
+- [Regular Expressions in Python](regular_expressions.md)
diff --git a/contrib/advanced-python/regular_expressions.md b/contrib/advanced-python/regular_expressions.md
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+## Regular Expressions in Python
+Regular expressions (regex) are a powerful tool for pattern matching and text manipulation. 
+Python's re module provides comprehensive support for regular expressions, enabling efficient text processing and validation.
+
+## 1. Introduction to Regular Expressions
+A regular expression is a sequence of characters defining a search pattern. Common use cases include validating input, searching within text, and extracting 
+specific patterns.
+
+## 2. Basic Syntax
+Literal Characters: Match exact characters (e.g., abc matches "abc").
+Metacharacters: Special characters like ., *, ?, +, ^, $, [ ], and | used to build patterns.
+
+**Common Metacharacters:**
+
+* .: Any character except newline.
+* ^: Start of the string.
+* $: End of the string.
+* *: 0 or more repetitions.
+* +: 1 or more repetitions.
+* ?: 0 or 1 repetition.
+* []: Any one character inside brackets (e.g., [a-z]).
+* |: Either the pattern before or after.
+  
+## 3. Using the re Module
+
+**Key functions in the re module:**
+
+* re.match(): Checks for a match at the beginning of the string.
+* re.search(): Searches for a match anywhere in the string.
+* re.findall(): Returns a list of all matches.
+* re.sub(): Replaces matches with a specified string.
+
+Examples:
+```bash
+import re
+
+# Match at the beginning
+print(re.match(r'\d+', '123abc').group())  # Output: 123
+
+# Search anywhere
+print(re.search(r'\d+', 'abc123').group())  # Output: 123
+
+# Find all matches
+print(re.findall(r'\d+', 'abc123def456'))  # Output: ['123', '456']
+
+# Substitute matches
+print(re.sub(r'\d+', '#', 'abc123def456'))  # Output: abc#def#
+```
+
+## 4. Compiling Regular Expressions
+Compiling regular expressions improves performance for repeated use.
+
+Example:
+```bash
+import re
+
+pattern = re.compile(r'\d+')
+print(pattern.match('123abc').group())  # Output: 123
+print(pattern.search('abc123').group())  # Output: 123
+print(pattern.findall('abc123def456'))  # Output: ['123', '456']
+```
+
+## 5. Groups and Capturing
+Parentheses () group and capture parts of the match.
+
+Example:
+```bash
+import re
+
+match = re.match(r'(\d{3})-(\d{2})-(\d{4})', '123-45-6789')
+if match:
+    print(match.group())   # Output: 123-45-6789
+    print(match.group(1))  # Output: 123
+    print(match.group(2))  # Output: 45
+    print(match.group(3))  # Output: 6789
+```
+
+## 6. Special Sequences
+Special sequences are shortcuts for common patterns:
+
+* \d: Any digit.
+* \D: Any non-digit.
+* \w: Any alphanumeric character.
+* \W: Any non-alphanumeric character.
+* \s: Any whitespace character.
+* \S: Any non-whitespace character.
+Example:
+```bash
+import re
+
+print(re.search(r'\w+@\w+\.\w+', 'Contact: support@example.com').group())  # Output: support@example.com
+```
+
+## Summary
+Regular expressions are a versatile tool for text processing in Python. The re module offers powerful functions and metacharacters for pattern matching, 
+searching, and manipulation, making it an essential skill for handling complex text processing tasks.