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Work · January 31, 2020

i Hate Regex

regex cheatsheet for the haters

i Hate Regex launched on January 31, 2020 with 477 votes, #16 of 3,486 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 6 years on.

Visit ihateregex.io ↗i Hate Regex alternativestop 1% of January 2020

In plain words

i Hate Regex is a regex cheatsheet designed to explain commonly used regular expressions in an accessible way. It's for people who find regex confusing or frustrating and want to understand how these patterns work. The tool breaks down regular expressions in straightforward language rather than technical jargon, making it easier for developers and non-developers to learn and reference regex patterns.

written from the facts on this page · September 2026

From the sources

Hello Hunters 👋 This tool is designed as a cheatsheet that will explain commonly used regular expressions in way you actually learn it ❤ - for the haters out there 😉

A modern regular expression playground with live matching, visual railroad diagrams, rich notes, and easy sharing.

Test patterns, see their structure, document the tricky parts, and share a durable workspace with your team. Internet Protocol version 6 (IPv6) is the most recent version of the Internet Protocol. This is used to provide identification for devices in a network. Matches a date in the format dd/mm/yyyy , dd-mm-yyyy or dd.mm.yyyy A Social Security number (SSN) is a nine-digit number that the U.S. government issues to all U.S. citizens and eligible U.S A ‘slug' is the part that comes at the very end of a URL, and refers to a specific page or post. Usually a combination of word that separated with hyphen A bitcoin address is the address string which identifies a bitcoin cryptocurrency wallet.…from ihateregex.io

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    My book titled "Python re(gex)?" is free to download through this weekend [1][2] The book covers both 're' and 'regex' modules, has plenty of examples and chapters also have cheatsheets and exercises. Code snippets, exercises, sample chapters, etc are available on GitHub repo [3] I used pandoc+xelatex [4] to generate the pdf. [1] https://gumroad.com/l/py_regex [2] https://leanpub.com/py_regex [3] https://github.com/learnbyexample/py_regular_expressions [4]…

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