Longman 3000 Words Excel !!top!! Jun 2026

try: response = requests.get(url) words = response.text.split('\n') words = [w.strip() for w in words if w.strip()] return words except: # Fallback sample data (partial) return [ "the", "be", "to", "of", "and", "a", "in", "that", "have", "I", "it", "for", "not", "on", "with", "he", "as", "you", "do", "at", # ... full list would be 3000 words ]

| Word | Definition | Part of Speech | Theme | | --- | --- | --- | --- | | abandon | to leave someone or something | verb | emotions | | ability | a natural talent or skill | noun | characteristics | | able | having a natural talent or skill | adjective | characteristics |

Easily save the spreadsheet as a .csv file to import the terms directly into digital flashcard apps. 🛠️ How to Structure Your Vocabulary Spreadsheet longman 3000 words excel

Sources:

: You can easily filter by part of speech (e.g., only verbs) or by frequency level to prioritize the most common "S1" words first. try: response = requests

Users often share cleaned datasets like the Longman-Communication-3000 XLSX for easier manipulation.

Possessing the Excel sheet is only half the battle. Success depends on execution. import pandas as pd import requests from time import sleep

import pandas as pd import requests from time import sleep