is the length of the search string, rather than scanning all 150,000 lines.
A backend endpoint that takes a partial string (e.g., "SW1") and returns the top 5–10 matches from the 150k list. 150k UK.txt
If you need to process the file in spreadsheet software like Google Sheets , which has row limits, you may need to split the file into smaller 100k chunks. is the length of the search string, rather
If the file contains words or sentences, use spaCy to perform Named Entity Recognition (NER) to identify UK-specific locations or organizations. If the file contains words or sentences, use
To enable instant searching, store the data in a Trie (Prefix Tree) or a Hash Map . This allows for search time, where
To develop a feature using a "150k UK.txt" file—likely a dataset of 150,000 UK-specific entries like postcodes, words, or user records—you can implement a high-performance system . Suggested Feature: UK Postcode or Word Search
Use buffered reading to load the file efficiently. For example, in Python, use a generator or readlines() to avoid blocking the main thread.