Programmers relying on basic tools like the equality operator or `.find()` encounter limitations when evaluating complex string patterns. Python resolves these constraints by providing the built-in `re` module, which equips developers with advanced pattern-matching rules and metacharacters. Within this module, the `re.search()` function evaluates an input string to locate the first instance of a matching pattern, returning either a match object or `None`. Additionally, users can apply an optional flags argument to customize how this search execution behaves.
Key points
Built-in Python tools like the `in` operator fall short when applications require matchin…: Built-in Python tools like the `in` operator fall short when applications require matching broader, non-literal character patterns.
Regular expression functionality is universally supported across major languages like Pyt…: Regular expression functionality is universally supported across major languages like Python, Java, and Perl, as well as Unix tools.
Developers using Python's `re` module can pass optional flag arguments to alter how patte…: Developers using Python's `re` module can pass optional flag arguments to alter how pattern searches are performed.
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In this tutorial, you’ll explore regular expressions, also known as regexes, in Python. A regex is a special sequence of characters that defines a pattern for complex string-matching functionality.
Earlier in this series, in the tutorial Strings and Character Data in Python, you learned how to define and manipulate string objects. Since then, you’ve seen some ways to determine whether two strings match each other:
-
You can test whether two strings are equal using the equality (
==
) operator. -
You can test whether one string is a substring of another with the
in
operator or the built-in string methods.find()
and.index()
.
String matching like this is a common task in programming, and you can get a lot done with string operators and built-in methods. At times, though, you may need more sophisticated pattern-matching capabilities.
In this tutorial, you’ll learn:
- How to access the
re
module, which implements regex matching in Python - How to use
re.search()
to match a pattern against a string - How to create complex matching pattern with regex metacharacters
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