Mek mekarpeles

This is a bookmarklet that gives some heuristics for data quality of the books in a search result, author page, or list.

To use, go to this page and copy the bookmarklet! (GitHub won't let me place the bookmarklet here).

The Learning Haskell guide has been moved to a git repo to enable outside contribution

	#!/usr/bin/env python3
	import csv
	import datetime
	import json
	import logging
	import os.path
	import sqlite3
	import sys
	from enum import Enum
	from sqlite3 import Connection, Cursor

	<html>
	<head>
	<title>Simple funnel example, with three exit points</title>
	<script src="http://archive.org/includes/jquery-1.10.2.min.js" type="text/javascript"></script>
	<script src="http://www-will.archive.org/includes/analytics.js?v=20fd7fa_854659" type="text/javascript"></script>
	</head>
	<!-- the data-ec="my-app" means we'll get context counts for participate. data-app="my-app" sets limits (esp for the data-convert
	items) on the events to capture.
	on load, this will fire an event with {app:"myapp", ec: "myapp", t:"event", ea: "participate"}
	-->

	# do it once
	seq 1 \| parallel -n0 "curl -H 'Content-Type: application/json' http://httpbin.org/post -X POST -d '{\"url\":\"http://google.com/\"}'"

	# do it twice
	seq 2 \| parallel -n0 "curl -H 'Content-Type: application/json' http://httpbin.org/post -X POST -d '{\"url\":\"http://google.com/\"}'"

	# do it 4 times, but at 2 a time
	seq 4 \| parallel -n0 -j2 "curl -H 'Content-Type: application/json' http://httpbin.org/post -X POST -d '{\"url\":\"http://google.com/\"}'"

	# you can also put all your commands into a file