Fitting a regular expression to a list of words

This article discusses techniques for combining a list of words into a single efficient regular expression, starting with grep and ripgrep commands for searching diagnosis codes. It introduces the Python package trieregex, which uses a trie structure to compress common prefixes into shorter regex patterns, demonstrated with examples like 'bluecross', 'blueshield', and 'bluey'. The article also covers limitations with common suffixes and compares performance between grep and ripgrep on HCPCS codes, showing ripgrep's significant speed advantage. It is technical content focused on programming, regex optimization, and IT tools.