freeformz

1. 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

freeformz

A slightly updated version of this doc is here on my website.

Why I Like Go

I visited with PagerDuty yesterday for a little Friday beer and pizza. While there I got started talking about Go. I was asked by Alex, their CEO, why I liked it. Several other people have asked me the same question recently, so I figured it was worth posting.

Goroutines

The first 1/2 of Go's concurrency story. Lightweight, concurrent function execution. You can spawn tons of these if needed and the Go runtime multiplexes them onto the configured number of CPUs/Threads as needed. They start with a super small stack that can grow (and shrink) via dynamic allocation (and freeing). They are as simple as go f(x), where f() is a function.

freeformz

package main

import (
	"fmt"
	"math"
)

func sqrt(target, guess float64) float64 {
	return guess - (math.Pow(guess, 2)-target)/(2*guess)
}

freeformz

Restaurants

• Tony's Pizza Nepolitano : Possibly the best pizza west of the hudson river. Maybe slipping though.
• Del Popolo : Pizza!
• Plow : Breakfast/Brunch. Possibly the best all around Brunch in SF.
• Tartine Bakery : Try the croissants and the bread pudding.
• Little Star Pizza : Deep Dish with a cornmeal crust. Try the off menu "brass monkey".
• Mission Chinese
• Vive la Tarte : Pastries and breakfast goods. My 2nd favorite SF breakfast spot.
• Una Pizza Napoletana : Very very good pizza
• Little Skillet : Chicken & Waffles

freeformz

import json
import platform
import subprocess

__metaclass__ = type

DOCUMENTATION = """
    name: tailscale
    plugin_type: inventory
    short_description: Tailscale Inventory Source

freeformz

• Bergström Wines - 18215 NE Calkins Ln, Newberg, OR 97132

• Bethel Heights - 6060 Bethel Heights Rd NW, Salem, OR 97304

• Big Table Farm - 26851 NW Williams Canyon Rd, Gaston, OR 97119

• Brooks Wines - 21101 SE Cherry Blossom Ln, Amity, OR 97101

• Cristom Vineyards - 6905 Spring Valley Rd NW, Salem, OR 97304

freeformz

package main

// build +cgo

import (
  "fmt"
  "os"
  "unsafe"
)

freeformz

00096 (main.go:21)	TEXT	"".nooops(SB)
00097 (main.go:21)	FUNCDATA	$0, "".gcargs·4(SB)
00098 (main.go:21)	FUNCDATA	$1, "".gclocals·5(SB)
00099 (main.go:21)	TYPE	s(FP), type.[]int(SB)
00100 (main.go:21)	TYPE	.autotmp_14-8(SP), type.*int(SB)
00101 (main.go:21)	TYPE	.autotmp_13-16(SP), type.int(SB)
00102 (main.go:21)	TYPE	v-24(SP), type.int(SB)
00103 (main.go:22)	MOVQ	$0, AX                            // AX = 0
00104 (main.go:22)	MOVQ	"".s(FP), CX                      // CX = pointer to first value in array
00105 (main.go:22)	MOVQ	AX, ""..autotmp_13-16(SP)         // autotmp_13 = 0

freeformz

00135 (main.go:29)	TEXT	"".oopsy(SB)
00136 (main.go:29)	FUNCDATA	$0, "".gcargs·6(SB)
00137 (main.go:29)	FUNCDATA	$1, "".gclocals·7(SB)
00138 (main.go:29)	TYPE	s(FP), type.[]int(SB)
00139 (main.go:29)	TYPE	.autotmp_18-8(SP), type.int(SB)
00140 (main.go:29)	TYPE	i-16(SP), type.int(SB)
00141 (main.go:30)	MOVQ	$0, AX                      // AX = 0
00142 (main.go:34)	MOVQ	"".s+8(FP), CX              // CX = 6 (len of the slice)
00143 (main.go:30)	MOVQ	AX, "".i-16(SP)             // i = 0
00144 (main.go:34)	MOVQ	CX, ""..autotmp_18-8(SP)    // autotmp_18 = 6

freeformz

# func(string, string) (bool, error) does not implement testing.testDeps (missing MatchString method)