oaass

#!/bin/bash

echo ""
echo "=========================================================================="
echo "= Pentest Attack Machine Setup                                           ="
echo "= Based on the setup from The Hacker Playbook                            ="
echo "=========================================================================="
echo ""

# Prepare tools folder

dasgoll

## install pyenv on ds dev cluster
yum -y install git gcc readline-devel zlib-devel bzip2-devel sqlite-devel openssl-devel  
git clone git://github.com/yyuu/pyenv.git /usr/local/pyenv
chmod -R 777 /usr/local/pyenv/
echo 'export PYENV_ROOT=/usr/local/pyenv' >>/etc/profile
echo 'export PATH=$PYENV_ROOT/bin:$PATH' >> /etc/profile
echo 'eval "$(pyenv init -)"' >> /etc/profile
echo 'pyenv global 2.7.7' >> /etc/profile
. /etc/profile
pyenv install -v 3.7.3

drorata

# Initialize the scroll
page = es.search(
  index = 'yourIndex',
  doc_type = 'yourType',
  scroll = '2m',
  search_type = 'scan',
  size = 1000,
  body = {
    # Your query's body
    })

tomhopper

#' When plotting multiple data series that share a common x axis but different y axes,
#' we can just plot each graph separately. This suffers from the drawback that the shared axis will typically
#' not align across graphs due to different plot margins.
#' One easy solution is to reshape2::melt() the data and use ggplot2's facet_grid() mapping. However, there is
#' no way to label individual y axes.
#' facet_grid() and facet_wrap() were designed to plot small multiples, where both x- and y-axis ranges are
#' shared acros all plots in the facetting. While the facet_ calls allow us to use different scales with
#' the \code{scales = "free"} argument, they should not be used this way.
#' A more robust approach is to the grid package grid.draw(), rbind() and ggplotGrob() to create a grid of 
#' individual plots where the plot axes are properly aligned within the grid.

adrianorsouza

Launch Sublime Text from the command line on OSX

Sublime Text includes a command line tool, subl, to work with files on the command line. This can be used to open files and projects in Sublime Text, as well working as an EDITOR for unix tools, such as git and subversion.

Requirements

• Sublime text 2 or 3 installed in your system within Applications folder

Setup

MarkEdmondson1234

#HWplot.R

library(ggplot2)
library(reshape)


HWplot<-function(ts_object, n.ahead=4, CI=.95, error.ribbon='green', line.size=1){
  
  hw_object<-HoltWinters(ts_object)
  

davharris

set.seed(1)

# Create fake data
x = runif(100, 0, 5)
y = .25 * x^3 - x^2 + rnorm(length(x))
data = data.frame(x = x, y = y)

# Identify 500 points to include in the plots
x.sequence = seq(0, 5, length = 500)

octocat

# Compiled source #
###################
*.com
*.class
*.dll
*.exe
*.o
*.so

# Packages #

hofmannsven

Raspberry Pi

• Related tutorial: http://raspberrypiguide.de/
• Command Line Cheatsheet: https://gist.github.com/hofmannsven/8392477

Setup

Find all available devices arp -a

Locate Raspberry (b8:27:eb) in Network: Pi Finder

SSH

mages

# Thanks to John Maindonald
library(WDI)
indnams <- c("fertility.rate", "life.expectancy", 
          "population", "GDP.per.capita.Current.USD", 
          "15.to.25.yr.female.literacy")
inds <- c('SP.DYN.TFRT.IN','SP.DYN.LE00.IN', 
          'SP.POP.TOTL','NY.GDP.PCAP.CD', 
          'SE.ADT.1524.LT.FE.ZS')
wdiData <- WDI(country="all", indicator=inds,
               start=1960, end=format(Sys.Date(), "%Y"),