mihi-tr

 (defn zp "Zero Pad numbers - takes a number and the length to pad to as arguments"
   [n c] 
   (loop [s (str n)]  
     (if (< (.length s) c) 
         (recur (str "0" s)) 
         s)))

mihi-tr

// Zero Pad a number in Javascript 
// Takes e.g. zp(42,5) -> "00042"

var zp = function(n,c) { 
    var s = String(n); 
    if (s.length< c) { return zp("0" + n,c) } 
    else { return s } };

mihi-tr

# Formulas for Z scores
zscore <- function (d) {
  return ((d-mean(d))/sd(d))
  }

# Read in data
d <- read.csv("Cleaned-20131016-1525.csv")

# The parties we want to use
parties<-colnames(d)[c(6,8,9,10,11,12,13,14,15,16)]

mihi-tr

turtles-own [xc xn]

to setup
  ;; (for this model to work with NetLogo's new plotting features,
  ;; __clear-all-and-reset-ticks should be replaced with clear-all at
  ;; the beginning of your setup procedure and reset-ticks at the end
  ;; of the procedure.)
  ;;__clear-all-and-reset-ticks
  clear-all
 

mihi-tr

require(RCurl)
require(rjson)

topsuppl<-function (dataset,drilldown,year,q=c(0.75,0.9,0.99,0.999)) {
  url=paste("http://openspending.org/api/2/aggregate?dataset=",dataset,"&cut=time.year:",year,"&drilldown
=",drilldown,sep="")
  j=getURL(url)
  data=fromJSON(j)
  amounts<-as.vector(sapply(data$drilldown,function(x) { return (x$amount[[1]]) }))
  labels<-as.vector(sapply(data$drilldown,function(x) { return (x$to$label) }))

mihi-tr

{
 "metadata": {
  "name": "Scraping a PDF with Scraperwikis PDFtoXML"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

mihi-tr

import scraperwiki
import itertools, re, csv
import lxml

# Configuration - file name and ranges for boys/girls here

filename="/home/mihi/Downloads/VN2p_2012.pdf"

# page numbers for boy and girl names
range_boys=[0,20]

mihi-tr

from pyquery import PyQuery
from AlchemyAPI import AlchemyAPI
from itertools import ifilter
import re
import lxml

url="http://www.kenyalaw.org/klr/index.php?id=441"

ao=AlchemyAPI()
ao.loadAPIKey("api-key.txt")

mihi-tr

(def coins [2 1 1 0.5 0.5 0.2 0.2 0.2 0.1 0.05 0.05 0.02 0.02 0.01 0.01])
 
(defn square [x]
  (* x x))
 
(defn distance
  [x y]
  (square (- x y)))
 
(defn fix-coin