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# DATA FRAME OPERATIONS IN R

# Create data frame
# A dataset is ~ table (list of vectors)
id <- c(1,2,3)
name <- c("John", "Kirk", "AJ")
age <- c(21,27,18)
employees <- data.frame(ID=id, Name=name, Age=age)
employees

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/*
 * object.watch polyfill
 *
 * 2012-04-03
 *
 * By Eli Grey, http://eligrey.com
 * Public Domain.
 * NO WARRANTY EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.
 */

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# DATA FRAME OPERATIONS IN R

# Create data frame
# A dataset is ~ table (list of vectors)
id <- c(1,2,3)
name <- c("John", "Kirk", "AJ")
age <- c(21,27,18)
employees <- data.frame(ID=id, Name=name, Age=age)
employees

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var _ = require('underscore');

var cassandra = function(client) {
    var that = this;
    that.__query__ = "";
    that.__error__ = false;
    that.__q__ = null;

    return that;
};

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#!/usr/bin/env python

import zmq

def main():

    try:
        context = zmq.Context(1)
        # Socket facing clients
        frontend = context.socket(zmq.PULL)

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#!/usr/bin/env python

import time
import zmq

def server():
  context = zmq.Context()
  socket = context.socket(zmq.PUSH)
  socket.setsockopt(zmq.LINGER,0)
  socket.connect('tcp://127.0.0.1:8880')

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#!/usr/bin/env python

import zmq
import time

def client():
  context = zmq.Context()
  socket = context.socket(zmq.PULL)
  socket.setsockopt(zmq.LINGER, -1)

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/*
This example uses Scala.  Please see the MLlib documentation for a Java example.

Try running this code in the Spark shell.  It may produce different topics each time (since LDA includes some randomization), but it should give topics similar to those listed above.

This example is paired with a blog post on LDA in Spark: http://databricks.com/blog
Spark: http://spark.apache.org/
*/

import scala.collection.mutable

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# DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
# Version 2, December 2004
#
# Copyright (C) 2015 Swen Wenzel <swenzel@uos.de>
#
# Everyone is permitted to copy and distribute verbatim or modified
# copies of this license document, and changing it is allowed as long
# as the name is changed.
#
# DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE

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package com.agilogy.spray.cors

import spray.http.{HttpMethods, HttpMethod, HttpResponse, AllOrigins}
import spray.http.HttpHeaders._
import spray.http.HttpMethods._
import spray.routing._

// see also https://developer.mozilla.org/en-US/docs/Web/HTTP/Access_control_CORS
trait CORSSupport {
  this: HttpService =>