Learning Regex for NLP

Работает с форматами +7, 7, 8 Варианты валидации любые.

Los logs de Kiwi Log Forwarder no se guardan de manera correcta como un CSV, por lo que tengo la idea de con una regex vaciarlos a un CSV bien hecho para poder tener mejor visualización de estos

A regex to extract meaningful infos from a Momo message (mobile money) which is recurrent in Africa.

Only matches patterns like "Page 1 of 1", "Page 2 of 2", "Page 3 of 3", "Page 4 of 4", "Page 106 of 106", etc. Only works when page numbers in the string are the same.

Foo Bar

A simple parser to exact all the components of a URI/URL as named groups

In Make (Integromat) I want to extra data in email formated in HTML I need to extract : The value for First Name, Last Name, Adresse, Zip code, City

Latin Character ranges

Matches IP addresses

including digits and double dashes

including digits and sequential uppercase letters

Covering Dates starting from year 2009 and older in French and English Some of the valid Dates format April 2nd 2008 April 2 2008 April 02 2008...

Match an email address and the TLD (.com, .net, .org etc) String: test@test.net Matches: test@test.net|.net

Spilt a string grouping words in quotes. String: First Last "Full Name" Matches: First|Last|"Full Name"

Parse Data URL like: data:image/png;base64,__iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAAHElEQVQI12P4//8/w38GIAXDIBKE0DHxgljNBAAO9TXL0Y4OHwAAAABJRU5ErkJggg==__

Removes quotes from value of JSON string

This would appear to violate the premise of this famous StackOverflow answer, however this is not parsing as such, only matching or heuristic identification. Technically, all text is HTML if served to a browser in such a way that the browser chooses to interpret it that way, e.g. using a text/html ...

匹配001~999之间的整数

parse option symbol