gbraad

Follow the ffmpeg compilation guide here: https://trac.ffmpeg.org/wiki/CompilationGuide/Ubuntu

copy "lib" and "include" directories from NDI sdk to ffmpeg_sources/ndi

use this modified build command:

cd ~/ffmpeg_sources && wget -O ffmpeg-snapshot.tar.bz2 https://ffmpeg.org/releases/ffmpeg-snapshot.tar.bz2 && tar xjvf ffmpeg-snapshot.tar.bz2 && cd ffmpeg && PATH="$HOME/bin:$PATH" PKG_CONFIG_PATH="$HOME/ffmpeg_build/lib/pkgconfig" ./configure --prefix="$HOME/ffmpeg_build" --pkg-config-flags="--static" --extra-cflags="-I$HOME/ffmpeg_build/include -I$HOME/ffmpeg_sources/ndi/include" --extra-ldflags="-L$HOME/ffmpeg_build/lib -L$HOME/ffmpeg_sources/ndi/lib/x86_64-linux-gnu" --extra-libs="-lpthread -lm" --bindir="$HOME/bin" --enable-gpl --enable-libass --enable-libfreetype --enable-libvorbis --enable-libx264 --enable-libx265 --enable-libndi_newtek --enable-nonfree && PATH="$HOME/bin:$PATH" make -j4 && make install && hash -r

(I omitted some libraries I do not need, --enable what suits you better)

ChgoChad

<?php

if (!isset($_GET['ILoveMautic'])) {
    echo 'The secret phrase is wrong.';
    die;
}

$link = "https://$_SERVER[HTTP_HOST]$_SERVER[REQUEST_URI]";
$allowedTasks = array(
    'cache:clear',

escopecz

<?php

/**
 * Push data to a Mautic form
 *
 * @param  array   $data   The data submitted by your form
 * @param  integer $formId Mautic Form ID
 * @param  string  $ip     IP address of the lead
 * @return boolean
 */

escopecz

<?php

if (!isset($_GET['ILoveMauticReallyIDo'])) {
    echo 'The secret phrase is wrong.';
    die;
}

$link = "http://$_SERVER[HTTP_HOST]$_SERVER[REQUEST_URI]";
$allowedTasks = array(
    'cache:clear',

rbdone

var bingKmlParser = function() {

	// private variables
	var _styles = {};
	var _styleMap = {};


	// private methods

	function _parsePolygons(placemarkXml) {

Chicago

##Quick and easy way to visualize the crimes data set using open source techniques
##Have more ideas?  Tell me about them at @ChicagoCDO
##All you need to do is install R at http://cran.r-project.org/ and run this file
install.packages("googleVis")
library(googleVis)
crimes_stage <- read.csv("http://data.cityofchicago.org/views/x2n5-8w5q/rows.csv")
attach(crimes_stage)
##remove first row with column names
crimes <- crimes_stage[-c(1),]
##create frequency table from crime