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Python RegEx - W3Schools

RegEx can be used to check if a string contains the specified search pattern. Python has a built-in package called re, which can be used to work with Regular Expressions. Import the re module: When you have imported the re module, you can start using regular expressions: Search the string to see if it starts with "The" and ends with "Spain":

https://www.geeksforgeeks.org/pattern-matching-python-regex/

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Pattern matching in Python with Regex - GeeksforGeeks

In this article, we will see how pattern matching in Python works with Regex. Regular expressions, also called regex, are descriptions of a pattern of text. It can detect the presence or absence of a text by matching it with a particular pattern and also can split a pattern into one or more sub-patterns.

https://www.w3schools.in/python/regular-expressions

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Python Regular Expressions - W3Schools

pattern: this is the regular expression that uses meta-characters to describe what strings can be matched. string: is used to search & match the pattern at the string's initiation. matchObject = re.match(pattern, input_str, flags =0) A Program by USING re.match:

https://w3schools.tech/tutorial/python/python_matchcase_statement

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Python - Match-Case Statement: A Beginner's Guide

What is the Match-Case Statement? The match-case statement, introduced in Python 3.10, is like a superhero version of the if-elif-else structure. It allows us to compare a value against multiple patterns and execute code based on the first matching pattern. case pattern1: # Code for pattern1 case pattern2: # Code for pattern2 case _:

https://docs.python.org/3/library/re.html

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re — Regular expression operations — Python 3.13.3 documentation

Usually patterns will be expressed in Python code using this raw string notation. It is important to note that most regular expression operations are available as module-level functions and methods on compiled regular expressions.

https://peps.python.org/pep-0636/

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PEP 636 – Structural Pattern Matching: Tutorial | peps.python.org

In your case, the [action, obj] pattern matches any sequence of exactly two elements. This is called matching. It will bind some names in the pattern to component elements of your subject. In this case, if the list has two elements, it will bind action = subject[0] and obj = subject[1].

https://www.geeksforgeeks.org/python-match-case-statement/

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Python Match Case Statement - GeeksforGeeks

Introduced in Python 3.10, the match case statement offers a powerful mechanism for pattern matching in Python. It allows us to perform more expressive and readable conditional checks. Unlike traditional if-elif-else chains, which can become unwieldy with complex conditions, the match-case statement provides a more elegant and flexible solution.

https://docs.python.org/3/howto/regex.html

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Regular Expression HOWTO — Python 3.13.3 documentation

Regular expressions (called REs, or regexes, or regex patterns) are essentially a tiny, highly specialized programming language embedded inside Python and made available through the re module.

https://www.w3schools.com/python/gloss_python_regex_match.asp

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Python RegEx Match Object - W3Schools

.span() returns a tuple containing the start-, and end positions of the match. Print the position (start- and end-position) of the first match occurrence. The regular expression looks for any words that starts with an upper case "S": Print the string passed into the function: Print the part of the string where there was a match.

https://www.geeksforgeeks.org/regular-expression-python-examples/

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Python RegEx - GeeksforGeeks

Regular expressions are compiled into pattern objects, which have methods for various operations such as searching for pattern matches or performing string substitutions. Example 1: The code uses a regular expression pattern[a-e] to find and list all lowercase letters from 'a' to 'e' in the input string "Aye, said Mr. Gibenson Stark".

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