The unreasonable effectiveness of f-strings and re.VERBOSE
... in which we look at one or two ways to make life easier when working with Python regular expressions. tl;dr: You can compose verbose regular expressions using f-strings. Here's a real-world example – instead of this: 1pattern = r"((?:\(\s*)?[A-Z]*H\d+[a-z]*(?:\s*\+\s*[A-Z]*H\d+[a-z]*)*(?:\s*[\):+])?)(.*?)(?=(?:\(\s*)?[A-Z]*H\d+[a-z]*(?:\s*\+\s*[A-Z]*H\d+[a-z]*)*(?:\s*[\):+])?(?![^\w\s])|$)"
Python's Hidden Regular Expression Gems
Python's Hidden Regular Expression Gems written on Wednesday, November 18, 2015 There are many terrible modules in the Python standard library, but the Python re module is not one of them. While it's old and has not been updated in many years, it's one of the best of all dynamic languages I would argue. What I always found interesting about that module is that Python is one of the few dynamic lang
PyRegex
\ escape special characters . matches any character ^ matches beginning of string $ matches end of string [5b-d] matches any chars '5', 'b', 'c' or 'd' [^a-c6] matches any char except 'a', 'b', 'c' or '6' R|S matches either regex R or regex S () creates a capture group and indicates precedence * 0 or more (append ? for non-greedy) + 1 or more (append ? for non-greedy) ? 0 or 1 (append ? for non-gr
Python, Catastrophic Regular Expressions and the GIL
“Some people, when confronted with a problem, think ‘I know, I’ll use regular expressions.’ Now they have two problems.” Jamie Zawinski The other day at work one of our python processes stopped responding. It was on one of our servers that was responsible for fetching and analyzing the web pages that we might recommend to people. By the time I got around to debugging this problem, the last log mes
正規表現あれこれ - melpon日記 - HaskellもC++もまともに扱えないへたれのページ
この記事は Python Tips Advent Calendar 2012 ２４日目の記事です。 Python の正規表現には、便利な機能がいくつかあります。ということで、いくつか見ていきましょう。 コメント機能 >>> import re >>> re.compile(r''' ... ^ # start of a line ... \[font # the font tag ... (?:=(?P<size> # optional [font=+size] ... [-+][0-9]{1,2} # size specification ... ))? ... \] # end of tag ... (.*?) # text between the tags ... \[/font\] # end of the tag ... ''', re.VERBOSE) #doctest: +E
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Regex-based lexical analysis in Python and JavaScript - Eli Bendersky's website
