John Downs munk

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

	#!/bin/bash

	MAX=$[$2+1]

	for ((i = $1; i < $MAX; i++)) do
	#echo "sips -s format pdf \"Scan $i.jpeg\" --out \"Scan$i.pdf\""
	sips -s format pdf "Scan $i.jpeg" --out "Scan$i.pdf"
	done

	PDFconcat="/System/Library/Automator/Combine PDF Pages.action/Contents/Resources/join.py"

	from pymongo import Connection as Cn
	from itertools import chain as ch

	collection = λ D, C: Cn()[D][C]
	orphans = λ c, d, j, k: {[i[j] for i in c]} - {ch(*[a[k] for a in d])}
	remove = λ d, k, c: map(d[k].remove, c)
	verify = λ k, t: filter(λ i: k in i[t], c)

	Window not found. The browser window may have been closed.
	Command duration or timeout: 78 milliseconds
	Build info: version: '2.32.0', revision: '6c40c18', time: '2013-04-09 17:22:56'
	System info: os.name: 'Windows 7', os.arch: 'amd64', os.version: '6.1', java.version: '1.6.0_31'
	Session ID: f02673c6-11e6-45c0-8a32-f6dbe927695a
	Driver info: org.openqa.selenium.firefox.FirefoxDriver
	Capabilities [{platform=XP, acceptSslCerts=true, javascriptEnabled=true, browserName=firefox, rotatable=false, locationContextEnabled=true, version=20.0.1, cssSelectorsEnabled=true, databaseEnabled=true, handlesAlerts=true, browserConnectionEnabled=true, nativeEvents=true, webStorageEnabled=true, applicationCacheEnabled=true, takesScreenshot=true}]

	void redAndGreen() {
	int redPins[] = {3,5,7,9};
	int greenPins[] = {2,4,6,8};
	int delayTime = 1000;

	for (int i=0;i<4;i++) { //turn on red, turn off green
	digitalWrite(redPins[i], HIGH);
	digitalWrite(greenPins[i], LOW);
	}
	delay(delayTime);

	$ play test
	[info] Loading project definition from /home/usmcs/workspace/todolist/project
	[info] Set current project to todolist (in build file:/home/usmcs/workspace/todolist/)
	[info] ApplicationSpec
	[info] Application should
	[info] + send 404 on a bad request
	[info] + render the index page
	[info] Total for specification ApplicationSpec
	[info] Finished in 956 ms
	[info] 2 examples, 0 failure, 0 error

	import matplotlib.pyplot as plt

	data = {'a': [1, 2, 3],
	'b': [9, 4, 2],
	'c': [10, 12, 13]}

	fig, ax = plt.subplots()

	for name, value in data.items():
	ax.plot(value, label=name)

	:tddium:
	:java:
	:java_version: java-6-openjdk
	:gradle_version: '1.11'
	:tests:
	- type: junit
	mode: parallel
	prefix: 'Demo'
	files:
	- include: 'test/Test.java' # Within prefix

	(require 'mine-jabber)

	;; Username & nickname fields from https://banno.hipchat.com/account/xmpp
	(setq hipchat-username "")
	(setq hipchat-nickname "")
	(setq hipchat-password "")

	(setq hipchat-autojoin-rooms
	'("aggregation" "assets" "banno_talk" "banno_cms" "data_services" "emacs" "grip" "kernel" "southen" "troll_talk" "webdev" "design_talk"))

	#!/usr/bin/env python

	import sys
	import logging
	import datetime

	def parse_connection(line):
	tokens = line.split()
	kind = 'OPEN' if "connection accepted from" in line else 'CLOSE'
	connection_id = tokens[9] if kind is 'OPEN' \