manboubird

Paddington

A small library for padding strings in JavaScript. Marmalade-free.

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manboubird

{
  "variables": {
    "aws_access_key": "{{env `AWS_ACCESS_KEY`}}",
    "aws_secret_key": "{{env `AWS_SECRET_KEY`}}"
  },
  "builders": [
    {
      "type": "amazon-ebs",
      "ssh_pty": true,
      "access_key": "{{user `aws_access_key`}}",

manboubird

#!/bin/bash
SOURCEINSTANCE=${SOURCEINSTANCE:-''}
SOURCEUSER=${SOURCEUSER:-'admin'}
SOURCEPORT=${SOURCEPORT:-'5439'}
SOURCEDB=${SOURCEDB:-'db'}
SOURCESCHEMA=${SOURCESCHEMA:-'public'}
SCHEMA=${SCHEMA:-'public'}
  echo  "CREATE TABLE ${SCHEMA}.${TABLE} ("
  psql -h ${SOURCEINSTANCE} -U ${SOURCEUSER} -p ${SOURCEPORT} ${SOURCEDB} -t -c "select (\"column\" || ' ' || type || ' ENCODE ' || encoding || ',' ) from pg_table_def where schemaname='$SCHEMA' and tablename = '$TABLE'" | sed 's/ENCODE none/ENCODE RAW/' | sed '$d' | sed '$ s/,$//'
  echo ")"

manboubird

Set up Django, Nginx and Gunicorn in a Virtualenv controled by Supervisor

Steps with explanations to set up a server using:

• Virtualenv
• Virtualenvwrapper
• Django
• Gunicorn

manboubird

%include vars.drake

echo_method()
  echo "test"

manboubird

# Split MYSQL dump file

zcat dump.sql.gz | awk '/DROP TABLE IF EXISTS/{n++}{print >"out" n ".sql" }'

# Parallel import using GNU Parallel http://www.gnu.org/software/parallel/

ls -rS *.sql | parallel --joblog joblog.txt mysql -uXXX -pYYY db_name "<"

manboubird

#!/bin/bash

# PLUGINS=で始まってる行をコメントアウトしたり追加したりして、
# 好きなプラグインをインストールできるよ。
# まぁ、普通は、JenkinsのWeb UIから「プラグインの管理」でインストールすればいいと思う。
# 同じ環境を何個も作りたい場合はこのスクリプトをどうぞ。

PLUGINS=()

# Jenkin Build Pipeline Plugin

manboubird

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

manboubird

import com.twitter.algebird.{Aggregator, Semigroup}
import com.twitter.scalding._

import scala.util.Random

/**
 * This job is a tutorial of sorts for scalding's Execution[T] abstraction.
 * It is a simple implementation of Lloyd's algorithm for k-means on 2D data.
 *
 * http://en.wikipedia.org/wiki/K-means_clustering

manboubird

// http://en.wikipedia.org/wiki/Decorator_pattern

trait Coffee {
  def cost:Double
  def ingredients: String
}

class SimpleCoffee extends Coffee {
  override def cost = 1
  override def ingredients = "Coffee"