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/*
Infinite List View
creates <ul> with triggers for infinite scrolling
@author Kevin Jantzer, Blacktone Audio Inc.
@since 2012-11-06
USE - listen for:

##Chrome Packaged Apps

Introduction

Introduced at Google I/O 2012, Chrome packaged apps are a new way to develop apps that are running 'natively' within Chrome on the desktop as well as on Chrome mobile in the near future. I'm currently in the middle of a project where I develop a Chrome packaged app and in this article I would like to share my experience with the development of packaged apps.

Please note: This article should give you a basic insight of topics that I think are helpful to know for developing packaged apps. Furthermore I will give links to each topic, so you can dive deeper into that specific topic if you want to. It's not the goal of this article to act as a complete introduction to Chrome packaged apps, for a much more detailed overview of packaged apps development, please look at the official packaged app documentation.

What are Chrome Packaged Apps

Chrome packaged apps are applic

@zjhiphop
zjhiphop / log.R
Created August 6, 2014 02:15 — forked from mollietaylor/log.R
library(ggplot2)
library(scales)
# load data:
log <- data.frame(Date = c("2013/05/25","2013/05/28","2013/05/31","2013/06/01","2013/06/02","2013/06/05","2013/06/07"),
Quantity = c(9,1,15,4,5,17,18))
log
str(log)
# convert date variable from factor to date format:
This post examines the features of [R Markdown](http://www.rstudio.org/docs/authoring/using_markdown)
using [knitr](http://yihui.name/knitr/) in Rstudio 0.96.
This combination of tools provides an exciting improvement in usability for
[reproducible analysis](http://stats.stackexchange.com/a/15006/183).
Specifically, this post
(1) discusses getting started with R Markdown and `knitr` in Rstudio 0.96;
(2) provides a basic example of producing console output and plots using R Markdown;
(3) highlights several code chunk options such as caching and controlling how input and output is displayed;
(4) demonstrates use of standard Markdown notation as well as the extended features of formulas and tables; and
(5) discusses the implications of R Markdown.
@zjhiphop
zjhiphop / chrome.md
Created August 15, 2014 03:44 — forked from 0xjjpa/chrome.md

#Introduction

Developing Chrome Extensions is REALLY fun if you are a Front End engineer. If you, however, struggle with visualizing the architecture of an application, then developing a Chrome Extension is going to bite your butt multiple times due the amount of excessive components the extension works with. Here are some pointers in how to start, what problems I encounter and how to avoid them.

Note: I'm not covering chrome package apps, which although similar, work in a different way. I also won't cover the page options api neither the new brand event pages. What I explain covers most basic chrome applications and should be enough to get you started.

Table of Contents

  1. Understand the Chrome Architecture
  2. Understand the Tabs-Extension Relationship
  3. Picking the right interface for the job
@zjhiphop
zjhiphop / uri.js
Last active August 29, 2015 14:07 — forked from jlong/uri.js
var parser = document.createElement('a');
parser.href = "http://example.com:3000/pathname/?search=test#hash";
parser.protocol; // => "http:"
parser.hostname; // => "example.com"
parser.port; // => "3000"
parser.pathname; // => "/pathname/"
parser.search; // => "?search=test"
parser.hash; // => "#hash"
parser.host; // => "example.com:3000"
//
// Regular Expression for URL validation
//
// Author: Diego Perini
// Updated: 2010/12/05
// License: MIT
//
// Copyright (c) 2010-2013 Diego Perini (http://www.iport.it)
//
// Permission is hereby granted, free of charge, to any person

Installing SSHPASS

SSHPass is a tiny utility, which allows you to provide the ssh password without using the prompt. This will very helpful for scripting. SSHPass is not good to use in multi-user environment. If you use SSHPass on your development machine, it don't do anything evil.

Installing on Ubuntu

apt-get install sshpass

Installing on OS X

@zjhiphop
zjhiphop / introrx.md
Last active August 29, 2015 14:23 — forked from staltz/introrx.md

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

So you're curious in learning this new thing called Reactive Programming, particularly its variant comprising of Rx, Bacon.js, RAC, and others.

Learning it is hard, even harder by the lack of good material. When I started, I tried looking for tutorials. I found only a handful of practical guides, but they just scratched the surface and never tackled the challenge of building the whole architecture around it. Library documentations often don't help when you're trying to understand some function. I mean, honestly, look at this:

Rx.Observable.prototype.flatMapLatest(selector, [thisArg])

Projects each element of an observable sequence into a new sequence of observable sequences by incorporating the element's index and then transforms an observable sequence of observable sequences into an observable sequence producing values only from the most recent observable sequence.

@zjhiphop
zjhiphop / introrx.md
Last active August 29, 2015 14:23 — forked from staltz/introrx.md

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

So you're curious in learning this new thing called Reactive Programming, particularly its variant comprising of Rx, Bacon.js, RAC, and others.

Learning it is hard, even harder by the lack of good material. When I started, I tried looking for tutorials. I found only a handful of practical guides, but they just scratched the surface and never tackled the challenge of building the whole architecture around it. Library documentations often don't help when you're trying to understand some function. I mean, honestly, look at this:

Rx.Observable.prototype.flatMapLatest(selector, [thisArg])

Projects each element of an observable sequence into a new sequence of observable sequences by incorporating the element's index and then transforms an observable sequence of observable sequences into an observable sequence producing values only from the most recent observable sequence.