Regex (very incomplete) implementation in pure Python. Only intended to illustrate the related concepts in a simple way, hopefully. As part of what I call the "How it's made - Software edition" ...

If you use Excel 40 hours a week (and those are the weeks you are on vacation), welcome to the MrExcel channel. Home to 2,400 free Excel tutorials. Bill "MrExcel" Jelen is the author of 67 books about ...

Learn how to implement the AdaMax optimization algorithm from scratch in Python. A great tutorial for understanding one of the most effective optimizers in deep learning. Supreme Court Is Told Trump ...

Abstract: A regular expression (regex) is said to be vulnerable to the regex denial of service (ReDoS) attack if the worst-case running time of a matching algorithm on the regex is super-linear in the ...

Abstract: Regular expressions can describe specific matching rules, which can be used to determine the string format or extract the string content. Until now, regular expressions have been widely used ...

In many modern Python applications, especially those that handle incoming data (e.g., JSON payloads from an API), ensuring that the data is valid, complete, and properly typed is crucial. Pydantic is ...

An experimental ‘no-GIL’ build mode in Python 3.13 disables the Global Interpreter Lock to enable true parallel execution in Python. Here’s where to start. The single biggest new feature in Python ...

There are two types of people in the world: those who have no idea what a regular expression is, and those who not only know what they are but can compose them on the fly and tend to use them in ...

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A regular expression (shortened as regex or regexp), sometimes referred to as rational expression, is a sequence of characters that specifies a match pattern in text. Usually such patterns are used by ...