1. \A and \Z – String Anchors \A – Matches ONLY at the beginning of the string \Z – Matches ONLY at the end of the string Example 1: \A – Start of string python import re text = “Hello World\nHello Python” pattern = r”\AHello” # Match “Hello” only at the VERY beginning matches =…
Curly Braces {} in Python Regex Curly braces {} are used to specify exact quantity of the preceding character or group. They define how many times something should appear. Basic Syntax: Example 1: Exact Number of Digits python import re text = “Zip codes: 12345, 9876, 123, 123456, 90210″ # Match exactly 5 digits pattern = r”\d{5}” # Exactly…
The Question Mark (?) in Python Regex The question mark ? in Python’s regular expressions has two main uses: 1. Making a Character or Group Optional (0 or 1 occurrence) This is the most common use – it makes the preceding character or group optional. Examples: Example 1: Optional ‘s’ for plural words python import re pattern…
The Dot (.) Metacharacter in Simple Terms Think of the dot . as a wildcard that can stand in for any single character. It’s like a placeholder that matches whatever character is in that position. What the Dot Does: Example 1: Finding Words with a Pattern python import re # Let’s find all 3-letter words that end with “at” text…
AttributeError: ‘NoneType’ Error in Python re This error occurs when you try to call match object methods on None instead of an actual match object. It’s one of the most common errors when working with Python’s regex module. Why This Happens: The re.search(), re.match(), and re.fullmatch() functions return: When you try to call methods like .group(), .start(), or .span() on None, you get this error. Example That Causes…
Python re Flags: re.I, re.S, re.X Explained Flags modify how regular expressions work. They’re used as optional parameters in re functions like re.search(), re.findall(), etc. 1. re.I or re.IGNORECASE Purpose: Makes the pattern matching case-insensitive Without re.I (Case-sensitive): python import re text = “Hello WORLD hello World” # Case-sensitive search matches = re.findall(r’hello’, text) print(“Case-sensitive:”, matches) # Output: [‘hello’] # Only finds lowercase…
Python re start(), end(), and span() Methods Explained These methods are used with match objects to get the positional information of where a pattern was found in the original string. They work on the result of re.search(), re.match(), or re.finditer(). Methods Overview: Example 1: Basic Position Tracking python import re text = “The quick brown fox jumps over the lazy…
Python re group() and groups() Methods Explained The group() and groups() methods are used with match objects to extract captured groups from regex patterns. They work on the result of re.search(), re.match(), or re.finditer(). group() Method groups() Method Example 1: Basic Group Extraction python import retext = “John Doe, age 30, email: john.doe@email.com”# Pattern with multiple capture groupspattern = r'(\w+)\s+(\w+),\s+age\s+(\d+),\s+email:\s+([\w.]+@[\w.]+)’///The Pattern: r'(\w+)\s+(\w+),\s+age\s+(\d+),\s+email:\s+([\w.]+@[\w.]+)’Breakdown by Capture…
Python re.subn() Method Explained The re.subn() method is similar to re.sub() but with one key difference: it returns a tuple containing both the modified string and the number of substitutions made. This is useful when you need to know how many replacements occurred. Syntax python re.subn(pattern, repl, string, count=0, flags=0) Returns: (modified_string, number_of_substitutions) Example 1: Basic Usage with Count Tracking python import re…
Python re.sub() Method Explained The re.sub() method is used for searching and replacing text patterns in strings. It’s one of the most powerful regex methods for text processing. Syntax python re.sub(pattern, repl, string, count=0, flags=0) Example 1: Basic Text Replacement python import re text = “The color of the sky is blue. My favorite color is blue too.” #…