alivcor

import numpy as np
import random


def randPartition(alldata_X, alldata_Y, _FRACTION):
    """
    alldata_X : All of your X (Features) data
    alldata_Y : All of your Y (Prediction) data
    _FRACTION : The fraction of data rows you want for train (0.75 means you need 75% of your data as train and 25% as test)
    """

arshrahman

import java.util.Arrays;

/*
  Developed by Abdul Rahman
*/

public class SortingAlgorithms {

	public static void main(String[] args) {
		int[] array = {2, 3, 5, 7, 11, 13, 17, 19};

omaraflak

#include <iostream>
#include <vector>
#include <assert.h>
#include <cmath>
#include <png++/png.hpp>

using namespace std;

typedef vector<double> Array;
typedef vector<Array> Matrix;

sbcd90

package org.apache.spark.sql

import java.io.ByteArrayOutputStream

import com.esotericsoftware.kryo.io.Input
import org.apache.hadoop.io.{NullWritable, BytesWritable}
import org.apache.spark.rdd.RDD
import org.apache.spark.serializer.KryoSerializer
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.{SparkContext, SparkConf}

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

avtomaton

#!/bin/bash

NVIDIA_DRIVER_VERSION=352.63
NVIDIA_CUDA_VERSION=7.5
NVIDIA_CUDA_FULL_VERSION=7.5.18

sudo yum update -y
sudo yum groupinstall -y "Development tools"
sudo yum install kernel-devel-`uname -r`

raelg

package services

import java.lang.reflect.Type

import com.google.gson._
import org.joda.time.format.ISODateTimeFormat
import org.joda.time.{DateTime, DateTimeZone}

object Serializers {