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Regular expressions (regex) are a powerful tool for pattern matching in strings. In Python, the re module provides support for regular expressions. One of the advanced features of regex is the ability to use groups. Groups allow you to capture and extract specific parts of a matched pattern. In this tutorial, we'll explore Python regex groups with examples.
Let's start with a simple example of grouping. Suppose we have a string containing a date in the format "YYYY-MM-DD", and we want to extract the year, month, and day separately.
In this example, the regex pattern (\d{4})-(\d{2})-(\d{2}) consists of three groups enclosed in parentheses. Each group corresponds to the year, month, and day parts of the date. The match.groups() method returns a tuple of the matched groups.
Named groups provide a more readable way to extract information from matched patterns. Let's modify the previous example to use named groups.
In this example, the named groups (?Pyear\d{4}), (?Pmonth\d{2}), and (?Pday\d{2}) are used to identify the different parts of the date. The match.group("group_name") method allows us to extract the value of a named group.
Sometimes you may want to use groups for logical grouping without capturing the matched text. Non-capturing groups, denoted by (?: ...), serve this
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