vmg

#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <float.h>
                                    int  main
                                    (int argc
         ,char *ac         []){int i, count =                  argc - 1;
         double  *         dvalues=malloc(01-                  01+count*
sizeof(double)+1);         double mi=DBL_MAX,ran=.0,ma         =DBL_MIN,mo;for(i=         00; argc>1
&&i<count;i=i+8-7)         {double val = atof(ac[i+1])         ;if(23&&val<mi)mi=         val;if(val

enesakar

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xmlns:context="http://www.springframework.org/schema/context"
       xmlns:mongo="http://www.springframework.org/schema/data/mongo"
       xmlns:hz="http://www.hazelcast.com/schema/spring"
       xsi:schemaLocation=
               "http://www.springframework.org/schema/context
          http://www.springframework.org/schema/context/spring-context-3.0.xsd
          http://www.springframework.org/schema/data/mongo

MLnick

import spark.streaming.StreamingContext._
import spark.streaming.{Seconds, StreamingContext}
import spark.SparkContext._
import spark.storage.StorageLevel
import spark.streaming.examples.twitter.TwitterInputDStream
import com.twitter.algebird.HyperLogLog._
import com.twitter.algebird._

/**
 * Example of using HyperLogLog monoid from Twitter's Algebird together with Spark Streaming's

MLnick

import spark.streaming.{Seconds, StreamingContext}
import spark.storage.StorageLevel
import spark.streaming.examples.twitter.TwitterInputDStream
import com.twitter.algebird._
import spark.streaming.StreamingContext._
import spark.SparkContext._

/**
 * Example of using CountMinSketch monoid from Twitter's Algebird together with Spark Streaming's
 * TwitterInputDStream

ashrithr

Introduction to Kafka

Kafka acts as a kind of write-ahead log (WAL) that records messages to a persistent store (disk) and allows subscribers to read and apply these changes to their own stores in a system appropriate time-frame.

Terminology:

• Producers send messages to brokers
• Consumers read messages from brokers
• Messages are sent to a topic

somebox

#!/usr/bin/env ruby
require 'socket'

# This script runs every minute, captures stats about redis
# and forwards them to graphite as counter values.

# Graphite/carbon settings
GRAPHITE_HOST="graphite.intra.local.ch"
GRAPHITE_PORT=8125

wsargent

303 See Other

Location: https://github.com/wsargent/docker-cheat-sheet

Hi there!

The docker cheat sheet has moved to a Github project under https://github.com/wsargent/docker-cheat-sheet.

Please click on the link above to go to the cheat sheet.

lelandbatey

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results

Jnesselr

#include <SoftwareSerial.h>

#define CARD_CODE_LENGTH 10
const int ledPin = 2;
const int doorLock = 4;
const int txPin = 6;
const int rxPin = 8;

int byteRead = 0;
int bytesRead = 0;

s-boardman

"""Plots a Pandas dataframe as a heatmap"""
import matplotlib as mpl
import matplotlib.pyplot as plt

def heatmap(df,
            edgecolors='w',
            cmap=mpl.cm.RdBu,
            log=False,vmin=0,vmax=500):    
    width = len(df.columns)/4
    height = len(df.index)/4