- [LiveReload][1]
- [iconmoon][2]
- [big-menus-small-screens-responsive-multi-level-navigation][3]
- [asg-web-sites][4]
- [minglabs][5]
- [git-ftp][6]
- [sass-way][7]
- [sass-source-map][8]
- [Middle-Man-App][9]
- Plain Strings (207):
foo
- Anchors (208):
k$
- Ranges (202):
^[a-f]4$
- Backrefs (201):
(...).*\1
- Abba (193):
^(?!.*(.)(.)\2\1)
- A man, a plan (177):
^(.)[^p].*\1$
- Prime (286):
^(?!(..+)\1+$)
- Four (199):
(.)(.\1){3}
- Order (199):
^[^o]?.{5}$
- Triples (588):
(00[039]|12|015|50)$|1..?4|4.2|1.7|6.0|006
- Download the perforce visual tool suite from here: http://www.perforce.com/perforce/downloads/index.html
- Copy only the p4merge.app file into your /Applications/ directory
/* | |
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
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.
Chrome packaged apps are applic
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. |
#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.