josemariagarcia95

const Ftp = require( 'ftp' );

const ftpClient = new Ftp();

ftpClient.on( 'ready', function() {
	ftpClient.put( './prueba.jpg', '/www/img/prueba.jpg', function( err, list ) {
		if ( err ) throw err;
		ftpClient.end();
	} );
} );

josemariagarcia95

/**
 * Parent Class A
 */
function A() {
	this.name = 'Clase A';
}

A.prototype.function2 = function() {
	console.log( 'Function 2 in A' );
};

josemariagarcia95

import numpy as np
import scipy.stats

#train - DataFrame
relevant_features = ["duration", "src_bytes", "dst_bytes"]

means = np.mean(train[relevant_features].values, axis=0)
stds = np.std(train[relevant_features].values, axis=0)

#creates norm distribution for each data

josemariagarcia95

function console_log( $data ){
  echo '<script>';
  echo 'console.log('. json_encode( $data ) .')';
  echo '</script>';
}

josemariagarcia95

%Whatever doc settings
\documentclass[11pt,a4paper,sans]{article}
\usepackage{pdfpages}

\begin{document}
%pages = - means all the pages of the file
\includepdf[pages=-]{file1} % ./file1.pdf
\includepdf[pages=-]{file2} % ./file2.pdf
\end{document}

josemariagarcia95

import pandas as pd
import numpy as np

df_movies = pd.read_csv("datos/movies.csv", sep=',')

josemariagarcia95

$.ajax({
  type: 'GET',
  dataType: 'JSONP',
  url: 'http://your_app_url',
  success: function (result) { alert(result); console.log(result);},
  error: function(result) { console.log(result); console.log('Uh Oh!'); }
});

josemariagarcia95

//This should be somewhere at the beginning of the file
//var express = require("express");
//var app = express();
//...//
app.get("/api/sensor", function(request, response) {
  var res = {};
  res.noise = Math.random() * 30 + 40;
  response.send(response.jsonp(res));
});