Amir Rahnama amir-rahnama

A simple Webpack + Gulpfile configuration wihtout any need for React.js that assumes you have the following project structure:

node_modules/ bower_components/ scripts/

Entry script is in scripts/entry.js

You should run gulp && gulp build-dev and you are good to go.

	var express = require('express'),
	app = express(),
	https = require('https'),
	request = require('request'),
	bodyParser = require('body-parser'),
	PROXY_PORT = 12345,
	HTTPS_POST = 443,
	API_ENDPOINT = '/api',
	CONTENT_TYPE = 'application/json',
	HTTPS_HOST = 'sub.domain.com',

	var gulp = require('gulp'),
	jshint = require('gulp-jshint'),
	connect = require('gulp-connect'),
	livereload = require('gulp-livereload'),
	paths = {
	scripts: ['scripts/*.js'],
	html: ['/.html'],
	style_css: 'styles/css',
	style_sass: 'styles/sass'
	},

	// Server creates a stream of text in EXEC_INTERVAL time period
	var net = require('net'),
	EXEC_INTERVAL = 1000,
	server = net.createServer(function(socket) {
	setInterval(function() {
	// Make sure data ends with a new line
	socket.write('Echo ...' + '\n');
	}, EXEC_INTERVAL);

	}).listen(8000);

	import socket
	import random

	HOST = '127.0.0.1'
	PORT = 50007

	s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
	s.bind((HOST, PORT))
	s.listen(1)
	conn, addr = s.accept()

	var ws = new WebSocket("ws://localhost:8888");
	ws.onopen = function() {
	ws.send("Hello, world");
	};

	//When Client Received a Message
	ws.onmessage = function(evt) {
	console.log(evt.data);
	};

	# pip install websocket-client
	from pyspark import SparkContext
	from pyspark.streaming import StreamingContext
	from websocket import create_connection

	def take_rdd_send_to_socket(time, rdd, num=1000):
	result = []
	taken = rdd.take(num + 1)
	print("-------------------------------------------")
	print("Time: %s" % time)

	---
	title: "Capstone First Milestone Report: Feature Engineering"
	author: "Amir Hossein Rahnama"
	date: "11 June 2016"
	output: html_document
	---
	####Introduction
	In this report, we are analyzing I have tried to start by showing a summary of all three data source from SwiftKey in terms of size. You can obtain the data with following code:

	```{r eval=FALSE}

	source("fast-ngrams.R")
	con <- file("path_to_file", "r")
	data <- readLines(con, encoding = 'UTF-8')
	close(con)

	data <- clean(data)
	onegram <- text_to_ngrams(decode(data), 1)
	bigram <- text_to_ngrams(decode(data), 2)
	trigram <- text_to_ngrams(decode(data, 3))

	var proxy = require('proxy.js')();
	proxy.run();