Dan Lawson danlsn

Based on the WordNet corpus, omitting results containing:

slashes (e.g. lo/ovral)
spaces (e.g. living_thing)
digits (e.g. 1900s)

Generated with the following Python script using NLTK:

from pathlib import Path

from nltk.corpus import wordnet

Passphrase Word Lists

Introduction

This document outlines a number of different word lists for passphrase generation, encoding of binary data, and other uses. This document is grouped and sorted by the number of unique words in each word list, fewest unique words first.

Licensing Note

Some of these word lists are placed in the public domain, others are copyrighted with various licenses. Please refer to the license of each word

Model name validation

Let's assume we have a dbt project with a models folder structure as follows:

models/
├── dimensions/
│   └── dim_users.sql
├── staging/
│   └── stg_users.sql

Mnemonic Encoding Word List

http://web.archive.org/web/20090918202746/http://tothink.com/mnemonic/wordlist.html

The wordlist contains 1626 words.
All words are between 4 and 7 letters long.
No word in the list is a prefix of another word (e.g. visit, visitor).
Five letter prefixes of words are sufficient to be unique.
The words should be usable by people all over the world. The list is far from perfect in that respect. It is heavily biased towards western culture and English in particular. The international vocabulary is simply not big enough. One can argue that even words like "hotel" or "radio" are not truly international. You will find many English words in the list but I have tried to limit them to words that are part of a beginner's vocabulary or words that have close relatives in other european languages. In some cases a word has a different meaning in another language or is pronounced very differently but for the purpose of the encoding it is still ok - I assume that when the encoding is

	import requests
	import json
	import pandas as pd


	def airtable_download(table, params_dict={}, api_key=None, base_id=None, record_id=None):
	"""Makes a request to Airtable for all records from a single table.
	Returns data in dictionary format.

	Keyword Arguments:

	<#
	.Synopsis
	This module can be used to invoke the Self-Elevation functionality of
	Ivanti AppSense Application Manager

	.Description
	This module uses the AMShellIntegration.AMShellContextMenu COM component to
	invoke the Self-Elevation functionality of Ivanti AppSense Application
	Manager.

	#!/usr/bin/env bash
	# To run this script you need to install https://rclone.org/ first
	# Use current date and time for future backup folder name
	TIMESTAMP=$(date +"%Y-%m-%d_%H-%M-%S")
	# Declare the directory where the temporary backup files will be stored
	BACKUP_DIR="/backup/$TIMESTAMP/mysql"
	# State the username for your MySQL / MariaDB instace that can access the neccessary databases
	MYSQL_USER=""
	# Point this script to mysql executable file
	MYSQL=/usr/bin/mysql

	#! /usr/bin/env python3
	# ~~ utf-8 ~~

	import mailbox
	import bs4

	def get_html_text(html):
	try:
	return bs4.BeautifulSoup(html, 'lxml').body.get_text(' ', strip=True)
	except AttributeError: # message contents empty

	{
	"emojis": [
	{"emoji": "👩‍👩‍👧‍👧", "name": "family: woman, woman, girl, girl", "shortname": ":woman_woman_girl_girl:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F467", "html": "👩&zwj;👩&zwj;👧&zwj;👧", "category": "People & Body (family)", "order": ""},
	{"emoji": "👩‍👩‍👧‍👦", "name": "family: woman, woman, girl, boy", "shortname": ":woman_woman_girl_boy:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F466", "html": "👩&zwj;👩&zwj;👧&zwj;👦", "category": "People & Body (family)", "order": ""},
	{"emoji": "👩‍👩‍👦‍👦", "name": "family: woman, woman, boy, boy", "shortname": ":woman_woman_boy_boy:", "unicode": "1F469 200D 1F469 200D 1F466 200D 1F466", "html": "👩&zwj;👩&zwj;👦&zwj;👦", "category": "People & Body (family)", "order": ""},
	{"emoji": "👨‍👩‍👧‍👧", "name": "family: man, woman, girl, girl", "shortname": ":man_woman_girl_girl:", "unicode": "1F468 200D 1F469 200D 1F467 200D 1F467", "html": "👨&zwj;👩&z

	A



	A- prefix (also an- before a vowel sound) not, without (amoral). [greek]

	Aa abbr. 1 automobile association. 2 alcoholics anonymous. 3 anti-aircraft.

	Aardvark n. Mammal with a tubular snout and a long tongue, feeding on termites. [afrikaans]