Python ‘re’

Python ‘re’:

The re-module in Python provides support for regular expressions. Regular expressions are a powerful tool for pattern matching and text manipulation. The re-module allows you to search for patterns within strings, perform substitutions, and split strings based on patterns.

Here is a basic example of using the re module to search for a pattern in a string:

Python

Copy code

import re

text = “Hello, world! This is a sample string.”

pattern = r “world”

match = re.search(pattern, text)

if match:

   print(“Pattern found!”)

else:

   print(“Pattern not found.”)

In this example, the re. Search () function searches for the pattern “world” within the text string. The r prefix before the pattern string indicates that it’s a raw string often used with regular expressions to avoid conflicts with backslashes.

The re. search() function returns a match object if the pattern is found in the string. The pattern is found if the match is None, and the message “Pattern found!” is printed.

The re-module provides many other functions and methods for pattern matching, such as re. Match (), re. Find all (), re. Sub (), and more. You can refer to the Python documentation for more details on these functions and their usage.

Regular expressions can be complex, allowing you to define intricate patterns to match specific strings. The syntax and rules for regular expressions are beyond the scope of this response. Still, there are numerous online resources and tutorials available to help you learn more about regular expressions in Python.