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import pandas as pd
import tensorflow as tf
from sklearn.model_selection import train_test_split
from tensorflow.keras.layers.experimental.preprocessing import \
    Normalization, CategoryEncoding, IntegerLookup

dataset_url = 'https://storage.googleapis.com/kaggle-data-sets/1226038/2047221/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20210414%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20210414T143749Z&X-Goog-Expires=259199&X-Goog-SignedHeaders=host&X-Goog-Signature=6cefbf3a9411483ae20d76e70c31f465c92380544351145764bdfb678d88c27622dee6c47cb9d2504859c08df24648c576fb1b8d8af192263f8c2b6485157cca2751d166fdaf358243774c4eaa1677c561af42961344b5c011e8bbfdd8fc1237f1101658d29c57b10cd1e9a5bb816461e05ff2190b520a5ae115147203e2e9c2a042787e26e6c314431e9caad65c7203419c3c52097f1ab00416a928aecba4ee78d2b559d1ea29c0ba68736c7ed2c630ef4574092aec1825f36f228f7aacdc44122ec8bff18a6051d9d74a9445924ceec8d0edf1de4741b465766876f4e27a491a20aded988467b4cef

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/* The async wrapper, replacing try catch block */

// eslint-disable-next-line no-unused-vars
const asyncWrapper = fn => (...args) => fn(...args).catch(args[2]);

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const AWS = require('aws-sdk');
const {parallelScan} = require('@shelf/dynamodb-parallel-scan');

const TABLE_NAME = '[table-name]';
const PRIMARY_PARTITION_KEY = '[partition-key]';

async function fetchAll() {
  const CONCURRENCY = 250;
  const alias = `#${PRIMARY_PARTITION_KEY}`;
  const name = PRIMARY_PARTITION_KEY;

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Enterprise: NJVYC-BMHX2-G77MM-4XJMR-6Q8QF
Professional: KBJFW-NXHK6-W4WJM-CRMQB-G3CDH

Keys are generic ones. These are the same from MSDN account. 


Product Key	: -6Q8QF
Validity	: Valid
Product ID	: 00369-90000-00000-AA703
Advanced ID	: XXXXX-03699-000-000000-00-1032-9200.0000-0672017

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// Simple gist to test parallel promise resolution when using async / await

function promiseWait(time) {
  return new Promise((resolve, reject) => {
    setTimeout(() => {
        resolve(true);
    }, time);
});
}

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const delay = ms => new Promise(resolve => setTimeout(resolve, ms));

async function something() {
    console.log("this might take some time....");
    await delay(5000);
    console.log("done!")
}

something();

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The final result: require() any module on npm in your browser console with browserify

This article is written to explain how the above gif works in the chrome (and other) browser consoles. A quick disclaimer: this whole thing is a huge hack, it shouldn't be used for anything seriously, and there are probably much better ways of accomplishing the same.

Update: There are much better ways of accomplishing the same, and the script has been updated to use a much simpler method pulling directly from browserify-cdn. See this thread for details: mathisonian/requirify#5

inspiration

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// https://jj09.net/settimeout-considered-harmful/

// NO TIMEOUT
let someVar1 = 0;

const changeVar1 = () => {
  someVar1 = 10;
  return someVar1;
};

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import React  from "react";

export const Recipeitem = (props) => {
return (<div>
        {props.title}
        </div>)
}

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import React from 'react';
import {shallow} from "enzyme";

const numbersArr = ["One", "Two", "Three"];

const Count123array = () => (
    <div className="my-text">
        {numbersArr[1]}
    </div>
);