klovadis

// example function where arguments 2 and 3 are optional
function example( err, optionalA, optionalB, callback ) {

    // retrieve arguments as array
    var args = [];
    for (var i = 0; i < arguments.length; i++) {
        args.push(arguments[i]);
    }

    // first argument is the error object

davidjrice

• Install & Setup New Relic
• cd my_rails_project/config/initializers
• wget http://raw.github.com/gist/2933202/5adcf11839c0ef2064a5f0c6e0fe795d9ed2c60a/couchbase_new_relic_instrumentation.rb
• git add and deploy as usual!

omz

# Based on https://gist.github.com/4063716
# 
# Provides a simple shell with basic
# commands for dealing with files and 
# directories.
#
# This script will try and prevent 
# unsafe file operations outside of
# Documents directory.
# 

reyjrar

##################################################################
# /etc/elasticsearch/elasticsearch.yml
#
# Base configuration for a write heavy cluster
#

# Cluster / Node Basics
cluster.name: logng

# Node can have abritrary attributes we can use for routing

NoobsArePeople2

Requirements

1. USB Overdrive
2. A non-Apple keyboard with media keys (or keys you want to make "media" keys). For reference, I'm using a Microsoft Sidewinder X4

Set Up

1. Plug in your keyboard and install USB Overdrive.
2. Open USB Overdrive. Click into the Settings tab.
3. Click the dropdown and select "Any Keyboard, Any Application"

airawat

This gist includes hive ql scripts to create an external partitioned table for Syslog
generated log files using regex serde; 
Usecase:  Count the number of occurances of processes that got logged, by year, month,
day and process.
 
Includes:
---------
Sample data and structure:           01-SampleDataAndStructure 
Data download:                       02-DataDownload
Data load commands:                  03-DataLoadCommands

diogomonica

require 'rubygems'
require 'mechanize'

FIRST_NAME = 'FIRST_NAME'
LAST_NAME = 'LAST_NAME'
PHONE = 'PHONE'
EMAIL = 'EMAIL@provider.com'

PARTY_SIZE = 2
SCHEDULE_RANGE = { :start_time => '19:00', :end_time => '20:30' }

debasishg

General Background and Overview

1. 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.
2. Models and Issues in Data Stream Systems
3. 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
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

craigeley

#!/usr/bin/ruby
# SIFTTTER 1.5: An IFTTT-to-Day One Logger by Craig Eley 2014 <http://craigeley.com>
# Based on tp-dailylog.rb by Brett Terpstra 2012 <http://brettterpstra.com>
# Multiple Date Function by Paul Hayes 2014 <http://paulrhayes.com>
#
# Notes:
# * Uses `mdfind` to locate a specific folder of IFTTT-generated text files changed in the last day
# * The location of your folder should be hardcoded in line 67, and the location of your Day One in line 66
# * Scans leading timestamps in each line matching the selected dates
# * Does not alter text files in any way

omz

# Shows the location of the last photo in the canera roll in the Maps app.
# (thanks to @HyShai for pointing out that the latitude/longitude refs are necessary)

import photos
import webbrowser

meta = photos.get_metadata(-1)
gps = meta.get('{GPS}')
if gps:
	latitude = str(gps.get('Latitude', 0.0)) + gps.get('LatitudeRef', '')