tobitailor

/*
 *    Copyright (c) 2010 Tobias Schneider
 *    This script is freely distributable under the terms of the MIT license.
 */

(function(){
    var UPC_SET = {
        "3211": '0',
        "2221": '1',
        "2122": '2',

alediaferia

/*
Copyright (c) 2015-2020 Alessandro Diaferia

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

stelcheck

Stargate Scanner Filter Examples

Introduction

So yeah... no documentation for the HBase REST API in regards to what should a filter look like...

So I installed Eclipse, got the library, and took some time to find some of the (seemingly) most useful filters you could use. I'm very green at anything regarding HBase, and I hope this will help anyone trying to get started with it.

What I discovered is that basically, attributes of the filter object follow the same naming than in the documentation. For this reason, I have made the link clickable and direct them to the HBase Class documentation attached to it; check for the instantiation argument names, and you will have your attribute list (more or less).

stephenc

Puppet with Jenkins

Setup Jenkins

With Puppet:

puppet module install rtyler-jenkins

puppet apply -v -e "include jenkins"

ankurcha

package com.mallo64.dataflow

import com.google.api.client.json.GenericJson;
import com.google.api.services.bigquery.model.TableCell;
import com.google.api.services.bigquery.model.TableFieldSchema;
import com.google.api.services.bigquery.model.TableRow;
import com.google.api.services.bigquery.model.TableSchema;
import com.google.cloud.dataflow.sdk.transforms.DoFn;
import org.apache.avro.Schema;
import org.apache.avro.specific.SpecificRecord;

mattbaggott

#
# PREDICTING LONG TERM CUSTOMER VALUE WITH BTYD PACKAGE
# Pareto/NBD (negative binomial distribution) modeling of 
# repeat-buying behavior in a noncontractual setting
#
# Matthew Baggott, matt@baggott.net
#
# Accompanying slides at:
# http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1#
#

arielsalminen

jQuery(function () {

  var $feed = $(".feed"),
    $trigger = $(".next_page"),
    $spinner = $(".spinner"),
    spinner = "<div class=\"spinner\"></div>";

  var isotopeSettings = {
    itemSelector: ".box"
  }

romanbsd

require 'faraday'
require 'zlib'

module FaradayMiddleware
  class Gzip < Faraday::Response::Middleware

    def on_complete(env)
      encoding = env[:response_headers]['content-encoding'].to_s.downcase
      case encoding
      when 'gzip'

glebcha

'use strict';

/*
Instructions:

1 - Should execute 'npm run prepare' 
	before the very first run, it will install and symlink all dependencies.

2 - Choose between production 'npm start' and development 'npm run start-dev' modes 
	(watcher will run immediately after initial run).

terrancesnyder

Sankey Barchart

Info

Provides a visualization similar to google analytics shopper behavior analytics.

Requires

• d3js
• underscorejs