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#Uninstall
sudo apt-get remove skype skype-bin:i386 skype:i386
sudo apt-get install sni-qt:i386

#Install
sudo dpkg --add-architecture i386
sudo apt-get update
sudo apt-get install gdebi
wget download.skype.com/linux/skype-ubuntu-precise_4.3.0.37-1_i386.deb
sudo gdebi skype-ubuntu-precise_4.3.0.37-1_i386.deb

fornarat

xclip -sel clip < ~/.ssh/id_rsa.pub

fornarat

Note: Newer Linux kernels may rename your devices to /dev/xvdf through /dev/xvdp internally, even when the device name entered here (and shown in the details) is /dev/sdf through /dev/sdp.

cd /mnt
lsblk
sudo file -s /dev/xvdf  # if outputs 'data', it has to be formatted
sudo mkfs -t ext4 /dev/xvdf
sudo file -s /dev/xvdf
sudo cp /etc/fstab /etc/fstab.orig
sudo vi /etc/fstab
add this line:

fornarat

http://kafka.apache.org/documentation.html#quickstart

Prerequisites:
	# adding java 
	sudo add-apt-repository ppa:webupd8team/java
	sudo apt-get update
	sudo apt-get install oracle-java7-installer

Install:
	cd /opt/

fornarat

function shuffle(array) {
  var currentIndex = array.length
    , temporaryValue
    , randomIndex;

  // While there remain elements to shuffle...
  while(0 !== currentIndex) {
    // Pick a remaining element...
    randomIndex = Math.floor(Math.random() * currentIndex);

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#!/bin/bash

for HOST in $(< /opt/hadoop/hadoop-1.0.3/conf/slaves); do
echo ""
echo "###############"
echo "# HOSTNAME: $HOST"
echo "###############"
# This line is for back grounding each command to execute them on all systems at once
# ssh -q -o ConnectTimeout=3 $HOST "echo password | sudo -S $* >/dev/null 2>&1 &"

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package org.sparkexample; /** * sample program to read images belonging to a sample Class e.g. Male/Female . Then writing the images to Vector format into a text file. These text files will be used by Apache Spark for Linear SVM analysis */

import javax.imageio.ImageIO;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.awt.image.Raster;
import java.io.*;
import java.nio.file.*;
import java.nio.file.attribute.BasicFileAttributes;
import java.util.ArrayList;

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package org.deeplearning4j.examples.convolution;

import org.canova.api.records.reader.RecordReader;
import org.canova.api.records.reader.impl.CSVRecordReader;
import org.canova.api.split.FileSplit;
import org.deeplearning4j.datasets.canova.RecordReaderDataSetIterator;
import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator;
import org.deeplearning4j.eval.Evaluation;
import org.deeplearning4j.nn.api.OptimizationAlgorithm;
import org.deeplearning4j.nn.conf.MultiLayerConfiguration;

fornarat

package org.deeplearning4j.examples.convolution;

import org.canova.api.records.reader.RecordReader;
import org.canova.api.records.reader.impl.CSVRecordReader;
import org.canova.api.split.FileSplit;
import org.deeplearning4j.datasets.canova.RecordReaderDataSetIterator;
import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator;
import org.deeplearning4j.eval.Evaluation;
import org.deeplearning4j.nn.api.OptimizationAlgorithm;
import org.deeplearning4j.nn.conf.MultiLayerConfiguration;

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package com.blah.akka;

import akka.NotUsed;
import akka.actor.ActorSystem;
import akka.http.javadsl.Http;
import akka.http.javadsl.model.HttpRequest;
import akka.http.javadsl.model.HttpResponse;
import akka.japi.Pair;
import akka.stream.ActorMaterializer;
import akka.stream.javadsl.*;