Lucas Fernandez Seivane quevedin

This is companion code to this guide.

date_entered	downloaded	book_name
2015-04-19	5481	R Programming for Data Science
2015-04-19	23751	The Elements of Data Analytic Style
2015-04-20	5691	R Programming for Data Science
2015-04-20	23782	The Elements of Data Analytic Style
2015-04-21	6379	R Programming for Data Science
2015-04-21	23820	The Elements of Data Analytic Style
2015-04-22	7281	R Programming for Data Science
2015-04-22	23857	The Elements of Data Analytic Style
2015-04-23	7554	R Programming for Data Science

Using Selenium and Python to screenshot a javascript-heavy page

As websites become more JavaScript heavy, it's harder to automate things like screenshotting for archival purposes. I've seen examples and suggestions to use PhantomJS for visual testing/archiving of websites, but have run into issues such as the non-rendering of webfonts. I've never tried out Selenium until today...and while I'm not thinking about performance implications yet, Selenium seems far more accurate than PhantomJS...which makes sense since it actually opens a real browser. And it's not too hard to script to do complex interactions: here's an [example of how to log in to Twitter, write a tweet, upload an image, and send a tweet via Selenium and DOM element selection](https://gist.github.com/dannguyen/8a6fa49253c1d6a0eb92

How to install NVIDIA Docker 2 package on Ubuntu and Debian:

If you came to this result (from Google or elsewhere) after realizing that Nvidia-docker's entry on this subject does not result in a working installation, here are the basic steps needed to install this package correctly:

For starters, ensure that you've installed the latest Docker Community edition by following the steps below:

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo apt-key fingerprint 0EBFCD88

sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

	library(shiny)
	library(datasets)
	Logged = FALSE;
	PASSWORD <- data.frame(Brukernavn = "withr", Passord = "25d55ad283aa400af464c76d713c07ad")
	# Define server logic required to summarize and view the selected dataset
	shinyServer(function(input, output) {
	source("www/Login.R", local = TRUE)

	observe({
	if (USER$Logged == TRUE) {

	Babel==1.3
	Jinja2==2.7.3
	Mako==1.0.0
	MarkupSafe==0.23
	Pillow==2.5.1
	http://download.gna.org/pychart/PyChart-1.39.tar.gz#egg=PyChart
	PyYAML==3.11
	Werkzeug==0.9.6
	argparse==1.2.1
	decorator==3.4.0

	echo "Grow Root FS"
	rootdev=`findmnt --target / -o SOURCE -n`
	rootdrivename=`lsblk -no pkname $rootdev`
	rootdrive="/dev/"$rootdrivename
	majorminor=`lsblk $rootdev -o MAJ:MIN \| tail -1`
	part_number=${majorminor#*:}
	yum install -y cloud-utils-growpart.noarch
	growpart $rootdrive $part_number -u on
	xfs_growfs $rootdev

	# Install Java 1.8 in CentOS/RHEL 6.X
	sudo yum remove -y java-1.6.0-openjdk
	wget --no-cookies \
	--no-check-certificate \
	--header "Cookie: oraclelicense=accept-securebackup-cookie" \
	"http://download.oracle.com/otn-pub/java/jdk/8-b132/jdk-8-linux-x64.rpm" \
	-O jdk-8-linux-x64.rpm
	sudo rpm -Uvh jdk-8-linux-x64.rpm
	sudo alternatives --install /usr/bin/java java /usr/java/jdk1.8.0/jre/bin/java 20000
	sudo alternatives --install /usr/bin/jar jar /usr/java/jdk1.8.0/bin/jar 20000

	# Nothing to see here
	shinyServer(function(input, output) {
	})