Python RE

2 min readDec 25, 2023

Python’s re-module, which is used for regular expressions. Regular expressions are a powerful tool for matching patterns in text. The re-module in Python provides a set of functions and classes for working with regular expressions.

Here are some critical functions in the re-module:

Re.match(pattern, string): Checks for a match only at the beginning of the string.
Re.search(pattern, string): Searches for a pattern anywhere in the string.
Re.findall(pattern, string): Finds all occurrences of the pattern in the string.
Re.finditer(pattern, string): Returns an iterator yielding match objects over all non-overlapping matches.
Re.sub(pattern, reply, string): Replaces occurrences of the pattern with some replacement string.
Re.compile(pattern): Compiles a regular expression pattern into a regular expression object, which can be used for matching.

Here’s a basic example of how you might use these functions:

import re

text = “Hello, my email is example@example.com”
email_pattern = r’\b[A-Za-z0–9._%+-]+@[A-Za-z0–9.-]+\.[A-Z|a-z]{2,}\b’

# Check if the pattern matches anywhere in the text
if re.search(email_pattern, text):
print(“Email address found”)
Else:
print(“No email address found”)

This examplere.search is used to find an email address in a string. The regular expression email_pattern is designed to match email addresses.

If you have a specific use case or pattern, you’re trying to match with Python’s re feel free to share more details, and I can provide a more tailored example.

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