ridwanbejo

// Imports the Google Cloud client library
const vision = require('@google-cloud/vision');

// Creates a client
const client = new vision.ImageAnnotatorClient();

client
  .labelDetection('https://www.googleapis.com/download/storage/v1/b/staging.serverlessid.appspot.com/o/licensePlate%2Fsample.jpg?generation=1520858044266983&alt=media')
  .then(results => {

ridwanbejo

import zmq
import json
import random
import time
from uuid import uuid4
from datetime import datetime
import argparse

parser = argparse.ArgumentParser()
parser.add_argument("--device_id", help="Device ID that must send the weather data",

ridwanbejo

import zmq
import time
from elasticsearch import Elasticsearch
from uuid import uuid4
import json
import argparse

parser = argparse.ArgumentParser()
parser.add_argument("--device_id", help="Device ID that must send the weather data",
                    action="store")

ridwanbejo

// Load the AWS SDK for Node.js
var AWS = require('aws-sdk');
var dateFormat = require('dateformat');
// Set the region
AWS.config.update({region: 'ap-northeast-1'});

// Create SQS service object
var sqs = new AWS.SQS({apiVersion: '2012-11-05'});
var queueURL = "<url>/clickstreamQueueDev";

ridwanbejo

var QUEUE_URL = '<url>/clickstreamQueueDev';
var AWS = require('aws-sdk');
var sqs = new AWS.SQS({region : 'ap-northeast-1'});

exports.handler = function(event, context, callback) {
    var params = {
        MessageBody: event.body,
        QueueUrl: QUEUE_URL
    };
    

ridwanbejo

version: '2'

services:
  portainer:
    image: portainer/portainer
    command: -H unix:///var/run/docker.sock
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
      - portainer_data:/data
    ports:

ridwanbejo

class StackArray(object):

    """
    Perbandingan sintaks Python dan Java
    - self = this
    - def = function
    - None = null
    """
    def create_stack(self, panjang):
        self.panjang = panjang

ridwanbejo

class QueueArray(object):

    def create_queue(self):
        self.queue = []

    def destroy_queue(self):
        self.queue = None

    def enqueue(self, nilai):
        if type(self.queue) != None:

ridwanbejo

CREATE DATABASE kereta_api_indonesia;

use kereta_api_indonesia;

CREATE TABLE country (
    id_country INT PRIMARY KEY AUTO_INCREMENT,
    name VARCHAR(50) NOT NULL
);

INSERT INTO country (name) VALUES ('Indonesia');

ridwanbejo

library(e1071)
library(gmodels)

# 1. Load dataset from CSV

bank_csv <- read.csv("./Downloads/bank-additional/bank-additional-full.csv", header=TRUE, sep=";")
bank_df <- as.data.frame(bank_csv[1:32951,])
summary(bank_df)

# 2. Do the preprocessing