python regex match online

Regular expressions (regex) are a powerful tool in Python for pattern matching and text manipulation. They provide a concise and flexible way to search, match, and manipulate strings. In this tutorial, we will explore the basics of Python regex and provide practical code examples.
Regular expressions are sequences of characters that define search patterns. Python's re module provides support for regular expressions. The basic syntax for using regular expressions in Python involves creating a pattern and applying it to a string.
In this example, the pattern "apple" is searched within the text "I have an apple." The search function returns a match object if a match is found.
This example uses a character class [aeiou] to match any vowel in the text. The findall function returns a list of all matches.
The dot (.) in the pattern represents any character. In this example, it matches words ending with "at."
The \d{2,4} pattern matches two to four consecutive digits. It is used here to extract a year from the text.
Parentheses are used to create groups. In this example, we capture the last name and first name from the text.
The (?=ing\b) is a positive lookahead assertion. It matches words that end with "ing" without including "ing" in the match.
Regular expressions in Python provide a powerful tool for text processing. This tutorial covers the basics, but there is much more to explore. Experiment with different patterns and techniques to enhance your regex skills. The re module documentation is a valuable resource for further details: Python re Module Documentation.
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