mroderick

var o = {hello:'world', greetings: ['one', 'two', 'three']};
undefined

// regular, difficult to read for large objects
JSON.stringify(o);
"{"hello":"world","greetings":["one","two","three"]}"

// presto!
JSON.stringify(o, '', '  ');
"{

ejain

import groovy.xml.MarkupBuilder

new MarkupBuilder().kml(xmlns : 'http://www.opengis.net/kml/2.2') {
	new File(args?.size() ? args[0] : '.').eachFileMatch(~/.*\.gpx/) { file ->
		new XmlParser().parse(file).trk.each { trk ->
			trk.trkseg.each { trkseg ->
				def geo = ""
				trkseg.trkpt.each { trkpt ->
					geo += "${trkpt.'@lon'},${trkpt.'@lat'}\n"
				}

rashmibanthia

#!/usr/bin/env bash
#Code adapted from https://gist.github.com/yangj1e/3641843c758201ebbc6c (Modified to Python3.5)

cd ~
#wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda2-2.4.0-Linux-x86_64.sh
wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda3-2.4.1-Linux-x86_64.sh
bash Anaconda3-2.4.1-Linux-x86_64.sh -b
echo 'PATH="/home/ubuntu/anaconda3/bin:$PATH"' >> .bashrc
. .bashrc

adrianseeley

function gnn (cases, wide, tall, population, iterations, error_fn, error_thresh) {
	var inputs = cases[0][0].length;
	var outputs = cases[0][1].length;
	// declare net, provide input layer
	var net = [new Array(inputs)];
	// create input neurons in input layer
	for (var i = 0; i < inputs; i++) 
		net[0][i] = {output: 0}
	// create hidden layers
	for (var x = 0; x < wide; x++) {

johnschrom

library(ggplot2)
library(maps)
library(mapproj)

###############################################################################
# Step 1: Get data from Foursquare
# If you already have it, then great :) Otherwise, you can use RPI. The source
# is listed below, and there are instructions for getting keys in the readme.
# RPI: https://github.com/johnschrom/RPI

oli

# ~/.gitconfig from @boblet
# initially based on http://rails.wincent.com/wiki/Git_quickstart

[core]
	excludesfile = /Users/oli/.gitignore
	legacyheaders = false # >git 1.5
	quotepath = false
# http://stackoverflow.com/questions/136178/git-diff-handling-long-lines
	pager = less -r
# if ↑ doesn’t work, try: pager = less -+$LESS -FRX

dbreunig

#Reporter Save File Schema

##The Reporter Export File

Reporter saves to your Dropbox account with plaintext JSON files, one for each day. When a Report is entered in the app a file is created for that day if it does not exist. Otherwise, the report is appended to the existing file. The save folder is located in 'Dropbox/Apps/Reporter-App/'.

Reporter save files are named according to the following convention:

YYYY-MM-DD-reporter-export.json

entaq

/**
reference - 
https://developers.google.com/accounts/docs/OAuth2WebServer
https://code.google.com/apis/console/
https://developers.google.com/+/api/latest/
**/


////handle all requests here
function doGet(e) {

anarchivist

#!/bin/bash

# Slack notification script for Munin
# Mark Matienzo (@anarchivist)
#
# To use:
# 1) Create a new incoming webhook for Slack
# 2) Edit the configuration variables that start with "SLACK_" below
# 3) Add the following to your munin configuration:
#

dannguyen

Iowa Liquor Sales dataset via Socrata/data.iowa.gov

(preliminary exploration)

The state of Iowa has released an 800MB+ dataset of more than 3 million rows showing weekly liquor sales, broken down by liquor category, vendor, and product name, e.g. STRAIGHT BOURBON WHISKIES, Jim Beam Brands, Maker's Mark

This dataset contains the spirits purchase information of Iowa Class “E” liquor licensees by product and date of purchase from January 1, 2014 to current. The dataset can be used to analyze total spirits sales in Iowa of individual products at the store level.

You can view the dataset via Socrata