paulgambill

/**
 * Retrieves all the rows in the active spreadsheet that contain data and logs the
 * values for each row.
 * For more information on using the Spreadsheet API, see
 * https://developers.google.com/apps-script/service_spreadsheet
 */
function readRows() {
  var sheet = SpreadsheetApp.getActiveSheet();
  var rows = sheet.getDataRange();
  var numRows = rows.getNumRows();

9point6

#!/usr/bin/env bash

# Check we've got command line arguments
if [ -z "$*" ] ; then
    echo "Need to specify ssh options"
    exit 1
fi

# Start trying and retrying
((count = 100))

artjomb

var useOldDownloadWay = false;

var Nightmare = require('nightmare');
new Nightmare()
	.goto('http://eprint.iacr.org/2004/152')
	.evaluate(function ev(old){
		var el = document.querySelector("[href*='.pdf']");
		var xhr = new XMLHttpRequest();
		xhr.open("GET", el.href, false);
		if (old) {

KayneWest

import mechanize
import cookielib
import urlparse
import re
import time
import random
import csv
import pandas as pd
import pickle
import random

ololobus

Apache Spark installation + ipython/jupyter notebook integration guide for macOS

Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112

For older versions of Spark and ipython, please, see also previous version of text.

Install Java Development Kit

Integralist

const flattenTco = ([first, ...rest], accumulator) => 
  (first === undefined)
    ? accumulator
    : (Array.isArray(first))
      ? flattenTco([...first, ...rest])
      : flattenTco(rest, accumulator.concat(first))
  
const flatten = (n) => flattenTco(n, []);
  
console.log(flatten([[1,[2,[[3]]]],4,[5,[[[6]]]]]))

ghiden

"use strict";

var fs= require('fs');
var Promise = require('bluebird');
var parse= Promise.promisify(require('csv-parse'));

var file = fs.readFileSync('test.csv', 'utf8');
var headerKeys;
var options ={
  trim: true,

nhagen

var a = ["sdfdf", "http://oooooolol"],
    handleNetErr = function(e) { return e };

Promise.all(fetch('sdfdsf').catch(handleNetErr), fetch('http://invalidurl').catch(handleNetErr))
    .then(function(sdf, invalid) {
        console.log(sdf, invalid) // [Response, TypeError]
    })
    .catch(function(err) {
        console.log(err);
    })

leipert

// These window.navigator contain language information
// 1. languages -> Array of preferred languages (eg ["en-US", "zh-CN", "ja-JP"]) Firefox^32, Chrome^32
// 2. language  -> Preferred language as String (eg "en-US") Firefox^5, IE^11, Safari, 
//                 Chrome sends Browser UI language
// 3. browserLanguage -> UI Language of IE
// 4. userLanguage    -> Language of Windows Regional Options
// 5. systemLanguage  -> UI Language of Windows
var browserLanguagePropertyKeys = ['languages', 'language', 'browserLanguage', 'userLanguage', 'systemLanguage'];

oyvindholmstad

/*	
	A script to generate a Google BigQuery-complient JSON-schema from a JSON object.
	
	Make sure the JSON object is complete before generating, null values will be skipped.
	
	References:
	https://cloud.google.com/bigquery/docs/data
	https://cloud.google.com/bigquery/docs/personsDataSchema.json
	https://gist.github.com/igrigorik/83334277835625916cd6
	... and a couple of visits to StackOverflow