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Title: A Comprehensive Guide to Python Regex: Matching Words in a String
Introduction:
Regular expressions (regex) are powerful tools for pattern matching in strings. In Python, the re module provides support for working with regular expressions. In this tutorial, we will explore how to use regex to match words within a string.
Before diving into regex, make sure to import the re module:
Let's start with a simple example of matching a specific word in a string:
This will output:
If you want to match whole words only, use the \b (word boundary) anchor:
This will output:
To match multiple words in a string, you can use the | (pipe) symbol to indicate alternatives:
This will output:
To extract matched words with groups, use parentheses in the regex pattern:
This will output:
Regex provides a flexible and powerful way to match words within strings in Python. By understanding the basics and applying the techniques covered in this tutorial, you can efficiently work with text patterns in your Python projects. Experiment with different patterns and explore the vast capabilities of regex for even more sophisticated text processing tasks.
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Introduction:
Regular expressions (regex) are powerful tools for pattern matching in strings. In Python, the re module provides support for working with regular expressions. In this tutorial, we will explore how to use regex to match words within a string.
Before diving into regex, make sure to import the re module:
Let's start with a simple example of matching a specific word in a string:
This will output:
If you want to match whole words only, use the \b (word boundary) anchor:
This will output:
To match multiple words in a string, you can use the | (pipe) symbol to indicate alternatives:
This will output:
To extract matched words with groups, use parentheses in the regex pattern:
This will output:
Regex provides a flexible and powerful way to match words within strings in Python. By understanding the basics and applying the techniques covered in this tutorial, you can efficiently work with text patterns in your Python projects. Experiment with different patterns and explore the vast capabilities of regex for even more sophisticated text processing tasks.
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