regular expression symbols in python - PrivacyWall

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

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Python RegEx - GeeksforGeeks

Python has a built-in module named "re" that is used for regular expressions in Python. We can import this module by using the import statement. Example: Importing re module in Python. How to Use RegEx in Python? You can use RegEx in Python after importing re module.

https://quickref.me/regex.html

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RegEX Cheat Sheet & Quick Reference

A quick reference for regular expressions (regex), including symbols, ranges, grouping, assertions and some sample patterns to get you started. This is a quick cheat sheet to getting started with regular expressions. a? a*? \p{...} \P{...} Recurses nth capture group. (...) (?:...) (?>...) (?|...) (?#...) (?'name'...) (?<name>...) (?P<name>...)

https://www.dataquest.io/cheat-sheet/regular-expressions-cheat-sh...

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Regular Expressions Cheat Sheet - Dataquest

Each entry includes practical examples that demonstrate regex's flexibility, from identifying patterns to modifying text with functions like re.sub(). The examples are paired with concise explanations to simplify learning and application.

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

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Regular Expressions - Python

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.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://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.pythontutorial.net/python-regex/python-regular-expres...

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Python Regular Expressions

Summary: in this tutorial, you’ll learn about Python regular expressions and how to use the most commonly used regular expression functions. Regular expressions (called regex or regexp) specify search patterns. Typical examples of regular expressions are the patterns for matching email addresses, phone numbers, and credit card numbers.

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

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Regex Cheat Sheet — Regular Expressions in Python - DataCamp

Literal Character: A literal character is the most basic regular expression you can use. It simply matches the actual character you write. So if you are trying to represent an “r,” you would write r. Metacharacter: Metacharacters signify to the regex engine that the following character has a special meaning.

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