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

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Regular Expression HOWTO — Python 3.13.3 documentation

Learn how to use regular expressions in Python with the re module. This tutorial covers the basics of matching characters, classes, sequences, and repetitions with examples and explanations.

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

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Python RegEx - GeeksforGeeks

Let's see the working of these RegEx functions with definition and examples: Return all non-overlapping matches of pattern in string, as a list of strings. The string is scanned left-to-right, and matches are returned in the order found. Finding all occurrences of a pattern.

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

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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.programiz.com/python-programming/regex

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Python RegEx (With Examples) - Programiz

To specify regular expressions, metacharacters are used. In the above example, ^ and $ are metacharacters. Metacharacters are characters that are interpreted in a special way by a RegEx engine. Here's a list of metacharacters: [] . ^ $ * + ? {} () \ |. Square brackets specifies a set of characters you wish to match. Matched?

https://pythonistaplanet.com/python-regex-exercises/

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18 Python Regular Expressions Exercises and Examples

Check out these examples to get a clear idea of how regular expressions work. Let’s jump right in. 1. Importing the re module. 2. Basic pattern matching using search () text = "I write code in Python." Output: 3. Using findall () to find all occurrences of a pattern. text = "I love to code in Python and it's amazing!" Output: 4.

https://realpython.com/regex-python/

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Regular Expressions: Regexes in Python (Part 1)

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.

https://www.tutorialspoint.com/python/python_reg_expressions.htm

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Python Regular Expressions - Online Tutorials Library

Regular expressions use the backslash character ('\') to indicate special forms or to allow special characters to be used without invoking their special meaning. Python on the other hand uses the same character as escape character. Hence Python uses the raw string notation.

https://www.datacamp.com/cheat-sheet/regular-expresso

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Regex Cheat Sheet — Regular Expressions in Python - DataCamp

Two common programming languages we discuss on DataCamp are Python and R which each have their own engines. Since regex describes patterns of text, it can be used to check for the existence of patterns in a text, extract substrings from longer strings, and help make adjustments to text.

https://www.pythoncheatsheet.org/cheatsheet/regular-expressions

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Python Regular Expressions - Python Cheatsheet

Python’s regular expressions are greedy by default: in ambiguous situations they will match the longest string possible. The non-greedy version of the curly brackets, which matches the shortest string possible, has the closing curly bracket followed by a question mark.

https://www.slingacademy.com/article/the-modern-python-regular-ex...

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The modern Python regular expressions cheat sheet

It provides examples and explanations for literal characters, character classes, quantifiers, anchors, escape sequences, groups, flags, and more. Feel free to refer to this cheat sheet as a quick reference when working with regular expressions in Python!

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