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var Contact = {};

Contact.parseName = function(str) {
    return str.split(',')[0].trim()

};

Contact.parseNumber = function(str) {
    return str.split(',')[1].trim()

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var Parrot = require('./parrot')

console.log(Parrot.speakEnglish());
console.log(Parrot.speakSpanish());


var Contact = require('./contact')
console.log(Contact.parseName("John Smith,604-123-9090"))
console.log(Contact.parseNumber("John Smith,604-123-9090"))

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How to download, import, and analyze San Francisco restaurant inspection data using SQLite3 and csvkit from the command-line.

A quick example of doing data wrangling from the command-line, as well as getting to know one of San Francisco's data sets: the San Francisco restaurant inspections, courtesy of the SF Department of Public Health. I don't normally do database work from the command-line, but importing bulk data into SQLite is pretty frustrating using the available GUIs or just the shell.

So thank goodness for Christopher Groskopf's csvkit, a suite of Unix-like tools that use Python to robustly handle CSV files. There's a lot of great tools in csvkit, but for this gist, I just use csvsql, which can parse a CSV and turn it into properly-flavored SQL to pass directly into your database app of choice.

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# Ask for the administrator password upfront
sudo -v

mkdir -p /Volumes/Sites/Work/Clients
mkdir -p /Volumes/Sites/Work/Internal
mkdir -p /Volumes/Sites/Personal
mkdir -p ~/Downloads/Torrents

xcode-select --install

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import java.util.Random;

/**
 * A credit card number generator.
 *
 * @author Josef Galea
 */
public class CreditCardNumberGenerator {

    private Random random = new Random(System.currentTimeMillis());

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{
	"always_show_minimap_viewport": false,
	"bold_folder_labels": true,
	"caret_extra_bottom": 2,
	"caret_extra_top": 2,
	"caret_extra_width": 3,
	"caret_style": "phase",
	"color_scheme": "Packages/Theme - Cobalt2/cobalt2.tmTheme",
	"fade_fold_buttons": false,
	"find_selected_text": true,

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# modify from veewee
require 'digest/md5'
CURRENT_DIR       = File.dirname(__FILE__)
PRESEED_MD5       = "#{Digest::MD5.file("#{CURRENT_DIR}/preseed.cfg").hexdigest}"

Veewee::Session.declare( {
  :boot_cmd_sequence    => [
                           "<Esc><Esc><Enter>",
                           "/install/vmlinuz ",
                           "noapic ",

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###Hive Default Delimiters to CSV #####Reasoning Hive's default delimiters are

Row Delimiter => Control-A ('\001')
Collection Item Delimiter => Control-B ('\002')
Map Key Delimiter => Control-C ('\003')

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boto3 quick hands-on

This documentation aims at being a quick-straight-to-the-point-hands-on AWS resources manipulation with [boto3][0].

First of all, you'll need to install [boto3][0]. Installing it along with [awscli][1] is probably a good idea as

• [awscli][1] is boto-based
• [awscli][1] usage is really close to boto's

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Elasticsearch / Kibana / Logstash Quick Install

Instructions for getting an ELK stack set up quick on Mac. Paths are opinionated. You'll have to infer and change. Sorry mate. 🍰

Install Homebrew if not already. You probably have. If not, you should.

brew install elasticsearch nginx

do yourself a favor and get a better services command than launchctl