/Patterns

NEW: 🎇great List of Regex, Patterns, Google queries, public SPARQL, SQL, NoSQL - Regular Expressions(=Search Patterns=Data type definitions) are one of the oldest but most common and most efficient dicsiplines in programming. Thinking regularly, thinking universally, thinking mathematically . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns Regexp regex regex regular pattern regex regex regex patterns

thinking regularly, thinking universally, thinking mathematically

List of Patterns 🎇 'Pattern-Collector'

The 'awesome List' of Patterns *(the only repo of it's kind)
Please edit this draft wildy 🎉: Spreadsheet / Readme ) Please don't hesitate to add sublists for specific scientific fields such as DNA
Exploration: Patterns make bite-sized tools🍒🍟 ( Searching such list (,once well populated,) you will already have mentally defined the specific, regular scope of your goal (the task of identifying specific data / matches). That can be more efficient / versatile than searching Stack Overflow Answers or node.js NPM's. Yet each regex could also he an NPM or module/package in any language.

1. Regular Expressions(=Search Patterns=Data format definitions.)

Regex are most common & most efficient to type. (Despite they are one of the oldest dicsiplines in programming to make sense of data, convert it, clean it or spell-check it. https://en.wikipedia.org/wiki/Regular_expression)
Regex are versatile, because they work in most languages and editors and many apps.

Common Data Formats² match replacement comment/justify extra³_
ISBN
Youtube Video ID [^\w-]([\w-]{11})[^\w-] $1 11char base64 is almost unique (?:https?://|//)?(?:www\.|m\.)?youtu/?be(?:\.com)?/(?:embed/|v/|watch\/?\?[&\w=]{,128}v=([\w-]{11})[^\w-]
Hashes, Public Keys, Signatures match
MD6
SHA256, Bitcoin, ...
Convert match replacement
MarkDown links to HTML links \[([^\]]*)\]\(([^\)]*)\) <a href="$2">$1</a>
this table2Javascript |`([^\`]*)`\|`([^\`]*)`| replaceAll(/$1/g, "$2").replaceAll("\|","|")
Javascript 2 Python ... $1$2$3

² date, postal code, formal greeting, formal __, ...
³extra: match typos too (common) and/or add precision ('no false positives' / perfectionism)

[we could add 1000s]

1.1 Automatic pattern generation / AI

Currently little of this is automated. Solutions such as Microsoft Power Automate for Desktop (Windows 11) want to change some of it.

1.2 Pre-processing Patterns

A raw text / data source material - or a list or category of patterns - can sometimes be analyzed for similarities and thus be combined in one preprocessing step. i.e. Preprocessing might Reduce Input data by 90% already in a fraction of the time / CPU

2. Contextual & Semantic patterns

word-lists, topics, frequencies, thesaurus, antonyms, semantic dictionaries, psychologic & sentiment dictionaries

wordnet, framenet, google ngrams, google trends, ....

Google Search:

~synonyms a|b AROUND(3) c|d -e|f|g|h|i|j|k|l|m|n|o|p|q|r|s|t|u|v|w|x|y|z
https://ahrefs.com/blog/google-advanced-search-operators/

Human Grammar & Natural language processing (NLP):

https://github.com/edobashira/speech-language-processing#readme

3. Structured Data. Querying Public Databases & the internet. SPARQL, SQL, NoSQL

Semantic web

WikiData

AWS public databases

4. Merging the above "1.-3."

vs 5. Human work VS machine learning models

All Patterns

https://docs.google.com/spreadsheets/d/1EjeZ2RtNpM_mANdO1VPXmZmbIb5vANUXodPBFtdg3zU/edit

Name pattern match replacement language comment/justify raw³ extra context/precision
regex
google
css