max maxthomas

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

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

	//
	// Regular Expression for URL validation
	//
	// Author: Diego Perini
	// Created: 2010/12/05
	// Updated: 2018/09/12
	// License: MIT
	//
	// Copyright (c) 2010-2018 Diego Perini (http://www.iport.it)
	//


	(require 'font-lock)

	(defvar thrift-mode-hook nil)
	(add-to-list 'auto-mode-alist '("\\.thrift\\'" . thrift-mode))

	(defvar thrift-indent-level 2
	"Defines 2 spaces for thrift indentation.")

	;; syntax coloring

	sudo aptitude -y install nginx
	cd /etc/nginx/sites-available
	sudo rm default
	sudo cat > jenkins
	upstream app_server {
	server 127.0.0.1:8080 fail_timeout=0;
	}

	server {
	listen 80;

	# Documentation for HAProxy
	# http://code.google.com/p/haproxy-docs/w/list
	# http://haproxy.1wt.eu/download/1.2/doc/architecture.txt

	# NOTES:
	# open files limits need to be > 256000, use ulimit -n to set (on most POSIX systems)

	global
	log 127.0.0.1 local0
	log 127.0.0.1 local1 notice

	(ns clj-gunzip.core
	(:require [clojure.java.io :as io])
	(:require [clojure.string :as str])
	(:import java.util.zip.GZIPInputStream
	java.util.zip.GZIPOutputStream))

	(defn gunzip
	"Writes the contents of input to output, decompressed.

	input: something which can be opened by io/input-stream.

	Latency Comparison Numbers (~2012)
	----------------------------------
	L1 cache reference 0.5 ns
	Branch mispredict 5 ns
	L2 cache reference 7 ns 14x L1 cache
	Mutex lock/unlock 25 ns
	Main memory reference 100 ns 20x L2 cache, 200x L1 cache
	Compress 1K bytes with Zippy 3,000 ns 3 us
	Send 1K bytes over 1 Gbps network 10,000 ns 10 us
	Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD

	public class StreamUtil<T>{
	public static <T> Stream<T> ofIterable(Iterable<T> iter){
	Iterator<T> iterator = iter.iterator();

	Stream.Builder<T> builder = Stream.builder();

	while(iterator.hasNext()){
	builder.add(iterator.next());
	}