robert p rbxbx

Hi, [insert recruiter's first name here]-

I've gone to some lengths to save everyone some time by maintaining a FAQ page on my resume website: http://resume.livingston-gray.com/faq.html

I've even gone so far as to change my LinkedIn profile so that it directs recruiters to read the FAQs before contacting me about relocation opportunities. So, thank you, [recruiter's first name]! By carefully ignoring all of that information, you've freed me from having to feel even remotely guilty for sending you a canned response.

Links for essays ref'd in http://blog.fogus.me/2009/03/11/seven-books/

General Background and Overview

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=rep1&t

	require 'json'
	require 'open-uri'

	class DependencyChecker
	def initialize(*gems)
	@gems = gems.flatten
	@dep_cache = {}
	end

	def all_dependencies

	# Event love!

	Pinger =
	ping: ->
	console.log 'ping!'
	$(this).trigger('pinged')

	Ponger =
	pong: ->
	console.log 'pong!'

	>> IF = -> b { b }
	=> #<Proc:0x007fb4e4049cc8 (lambda)>

	>> LEFT = -> p { p[-> x { -> y { x } } ] }
	=> #<Proc:0x007fb4e403d680 (lambda)>

	>> RIGHT = -> p { p[-> x { -> y { y } } ] }
	=> #<Proc:0x007fb4e4028ff0 (lambda)>

	>> IS_EMPTY = LEFT

	=== Things to do in NYC with a ~7 Year Old ===

	Brooklyn
	Williamsburg
	- McCarren Park
	- Pool
	- Brooklyn Flea - Sunday 10-4
	- East River State Park
	- Brooklyn Bowl - Sat/Sun 12-6
	- Leonard Library - Mon-Sun 10-6

	stats = Sidekiq::Stats.new

	stats.queues

	stats.enqueued

	stats.processed

	stats.failed

	#!/bin/bash

	# applies a black and white feedback effect to still images.
	# usage: ./feedback.sh image.png 18
	# this would apply the feedback effect 18 times to the image.png image and output the result as feedback.png

	cp $1 feedback.png

	loop=0

robert p rbxbx

General Background and Overview

Contents