Damian Montero thedamian

## 0_reuse_code.js
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

## gist:14213922b9127c8442b5b53f5345b647
const fs = require('fs');

let population = JSON.parse(fs.readFileSync('population.json','utf8'));
population = population.filter(c =>  c.Year == "2016");
population = population.map(c=> {return {code3:c['Country Code'],population:c.Value}});

population = population.filter(c => c  != null);
let country3to2 = JSON.parse(fs.readFileSync('3to2countrycode.json','utf8'));
population = population.filter(c => c  != null);
population = population.map(c=> {

## server.js
const http = require("http");
const express = require("express");
const app = express();
app.set('view engine', 'ejs');
const port =  5000; ;


app.get("/",(req,res)=> {
  res.end("Hello world");
});

## companies.js
let companies = [
'AAPL',
'MSFT',
'AMZN',
'GOOGL',
'FB',
'BRK.A',
'BABA'
//'SEHK: 700' // wechat's tencent
'JPM',

## gist:ecc57e6aefa0e9f46d746da27de2c91d
<html>
  <head>
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@0.11.2"></script>
  </head>
  <body>
    <div id="output_field"></div>
  </body>
  <script>
    async function learnLinear() {
      const model = tf.sequential();
	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console
	const fs = require('fs');

	let population = JSON.parse(fs.readFileSync('population.json','utf8'));
	population = population.filter(c => c.Year == "2016");
	population = population.map(c=> {return {code3:c['Country Code'],population:c.Value}});

	population = population.filter(c => c != null);
	let country3to2 = JSON.parse(fs.readFileSync('3to2countrycode.json','utf8'));
	population = population.filter(c => c != null);
	population = population.map(c=> {
	const http = require("http");
	const express = require("express");
	const app = express();
	app.set('view engine', 'ejs');
	const port = 5000; ;


	app.get("/",(req,res)=> {
	res.end("Hello world");
	});
	let companies = [
	'AAPL',
	'MSFT',
	'AMZN',
	'GOOGL',
	'FB',
	'BRK.A',
	'BABA'
	//'SEHK: 700' // wechat's tencent
	'JPM',
	<html>
	<head>
	<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@0.11.2"></script>
	</head>
	<body>
	<div id="output_field"></div>
	</body>
	<script>
	async function learnLinear() {
	const model = tf.sequential();