Ivan Vanderbyl ivanvanderbyl

@holman got a request about our deployment system, heaven

I know it's not a high priority, but has there been any activity on open-sourcing the core Heaven gem?

There is. I've been working on extracting the non-GitHub specific parts into two gems. This first is a CLI portion called hades. The second is an HTTP API portion called heaven.

When you open source something previously used as in internal tool like Heaven, Hubot, Boxen, etc., how do you manage and hook in the parts that need to stay internal?

Normally I focus around four questions:

Install the latest JRE from Oracle
In the Java Control Panel, go to the Security tab and make sure 'Enable Java Content' is checked
Open Safari
Go to the ATO Business portal site https://bp.ato.gov.au/BpStatics/homepage.htm
Click Login
A dialog will apear asking you 'Do you want to trust the website “authentication.business.gov.au” to use the “Java” plug-in?'
Click 'Trust'
Now you will be asked 'Do you want to run this application?'
Click 'Run'
Another dialog will appear asking you to 'Allow access to the following application from this website?'

General Background and Overview

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

Expanding on mbostock's weekday.js and my Weekdays gists by adding adaptive tick mark format and wrapping it all up in a dayselect scale (d3.scale.dayselect).

View at bl.ocks.org;

Coffee

East Village - Third Rail, *Box Kite, Ninth Street Espresso (not on 9th Street!), Bluebird
West Village - Third Rail, *Stumptown, Blue Bottle
SoHo / Nolita / Little Italy / Chinatown - *Gasoline, Happy Bones, La Colombe Torrefaction, Bowery
Williamsburg - Tobys Estate, Blue Bottle
Brooklyn Heights - *Cafe Pedlar

Ones marked with a star are generally good coffee, but not to my taste. Especially tendency for a light, watery extraction. But otherwise good.

This post is also on my blog, since Gist doesn't support @ notifications.

Components are taking center stage in Ember 2.0. Here are some things you can do today to make the transition as smooth as possible:

Use Ember CLI
In general, replace views + controllers with components
Only use controllers at the top-level for receiving data from the route, and use Ember.Controller instead of Ember.ArrayController or Ember.ObjectController
Fetch data in your route, and set it as normal properties on your top-level controller. Export an Ember.Controller, otherwise a proxy will be generated. You can use Ember.RSVP.hash to simulate setting normal props on your controller.

	,ruby() {
	case "$1" in
	-h\|--help)
	echo "usage: _ruby [version] [opts]"
	;;
	-v\|--version)
	echo "_ruby version 0.0.9"
	;;
	system)
	if [ -n "${_ruby_PATH_fragment}" ]

	/**
	Ember Data: Dependent Relationships

	This package extends Ember Data to support creating relationships
	where a model's dirty state depends not only on its own attributes
	but on the dirty state of models in dependent relationships as well.

	```javascript
	App.Thing = DS.Model.extend({
	name : DS.attr('string'),

	import ifConditionHelper from 'myapp/helpers/if-condition';

	/**
	* Logical AND Existence Conditional Block
	*
	* Usage: {{#if-all-exists field1 field2}}Either field1 or field2 is truthy{{/if-all-exists}}
	*
	* Executes the given block if all arguments are defined
	*/
	export default function() {

	"""
	A deep neural network with or w/o dropout in one file.

	License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
	"""

	import numpy, theano, sys, math
	from theano import tensor as T
	from theano import shared
	from theano.tensor.shared_randomstreams import RandomStreams