Introduction to Validation in React with Yup

The JavaScript Object Schema Validator and Object Parser to use with React

In this article we will visit why you should be using Yup in your React projects, what it does exactly, and how to make the most out of the package to simplify your code, with examples.

Yup is designed for front-end browser based use. If you are interested in server-side object schema validation with NodeJS, take a look at my article on Joi:

Why should you care about Yup?

Yup makes our lives far easier for validating the data our apps consume and manipulate, in an abstract way that does not interfere with the rest of our business logic.

Web apps built on JavaScript Frameworks are now highly interactive and mutable in and of themselves; that is what the end user has come to expect. With this comes a large amount of data exchange, whether it be from API requests, form submissions, or custom objects to handle our state.

We need to make sure we are delivering data that our components expect to work with, otherwise we will be dealing with unintended consequences in the form of failed component renders or app crashes — we don’t want this.

The general gist of Yup

So how does Yup work exactly?

With Yup, we create a Yup formatted object that resembles our intended schema for an object, and then use Yup utility functions to check if our data objects match this schema — hence validating them.

A Schema Object

Let’s use form validation as a use case for our Yup example.

Note: Form validation is by no means the only use case for Yup — use it to validate any object that you need to, whether you are retrieving data from your APIs or an external API library, or simply working with multiple objects or arrays within your project that need to adhere to a particular schema.

With that said, now imagine I am creating a checkout address form — which may resemble the following structure:

    email_address: email <required>
    full_name: string, <required>
    house_no: int,
    address_1: string <required>,
    address_2: string,
    post_code: string <required>
    timestamp: date <required>

This is the type of data I am expecting from this form, or my schema for a particular object. If my object does not match this schema, it is not valid.

Notice that I have treated the email_address field as an email data type. This is not an error. Yup can test whether a value is an email address with one method call . Likewise with our timestamp value — Yup can test whether this value is a date.

What does this look like as a Yup schema object? Something like this:

const checkoutAddressSchema = yup.object().shape({
  email_address: yup
  full_name: yup
  house_no: yup
  address_1: yup
  address_2: yup
  post_code: yup
  timestamp: yup
      .default(() => (new Date()),

A Yup schema is an immutable object responsible for validating an object.

This code is self explanatory: We can see for ourselves the responsibility of this object in a detailed way without having to add a single comment.

Each validator has its own method. This granularity allows us as developers to combine as many validators as we see fit for our data validation.

Data types such as stringintegerbooleanarrayobject and date are all callable validators within Yup, making it simple for Yup newcomers to begin using the code.

However, Yup goes way beyond simple data types. In the above example we also use validators like emailrequired, and positive, allowing me to check whether a value is representative of an email address, whether a value exists and whether a number is positive respectively. (we also have notRequired to use for greater readability of your schema).

This is great, abstract, reusable design. We can even assign default values with an embedded function, as the above example demonstrates with the timestamp field:

   timestamp: yup
      .default(() => (new Date()),

default() can be anything you wish to assign: it takes any value. The function can be expanded and treated like any other to include any logic you need to process in order to generate a default value:

   timestamp: yup
      .default(() => {
         //check for stuff           
         return new Date();

Validating Objects with My Schema

Now we have a schema for our checkout address form, we can then use it to validate the data we receive from it. Let’s say I receive the following data:

let addressFormData = {
   email_address: '',
   full_name: 'Ross Bulat',
   house_no: null,
   address_1: 'My Street Name',
   post_code: 'AB01 0AB',

As you can see, the address_2 and timestamp fields are missing from here — but they are not required in our schema, so the object will still be valid.

From here I would like to demonstrate 3 things:

  • Check if my object is valid. So a true or false result of whether my object is indeed a valid checkout address object.
  • Validate the object. E.g. use my schema to fill in any default values. This also type casts our object.
  • Visit the cast() method of Yup, that type casts an object without validating it.

Checking if the object is valid

To do this, we use yup.isValid(), which will look like the following when applied to our example:

const valid = await checkoutAddressSchema.isValid(addressFormData);

isValid() returns a promise, so we can either treat this with async and await as demonstrated above, or use callback syntax:

  .then(function(valid) {
     //valid - true or false

I prefer using await for cleaner syntax.

Validating the Object

In most cases we will require actually validating the object: process it to adhere to your schema expectations. In our example, we are expecting a timestamp value, and we have a default value if it is missing.

Let’s validate our address form with the following:

await checkoutAddressSchema.validate(addressFormData);

Now our object will be suitable for further processing.

Casting an Object

With the above example, validate(), we are checking whether our data is valid, and we are running validation on it. This is a handy shortcut that you may find you use the majority of time. However, we could just run an object through a cast() method that checks and fixes its types.

With our checkout address form, we may have a string that represents our house_no, whereas my schema expects an integer. cast() will fix this. It would also convert a timestamp string into our Date object if we indeed provided a timestamp string.

Cast is called like so:


Indispensable Tool?

At this point it is becoming clear that Yup adds an extra vital layer of data security to our apps in a concise way. Validation becomes much less of a headache, and actually a joy to write and read because of the simplicity of the syntax and abstraction of the Yup library.

To expand your initial understanding of Yup, let’s visit some other useful methods available within the package.

Miscellaneous Useful Methods

  • Remember our form data structure outlined at the top of the article? This can be retrieved from a Yup object with the describe() methoddescribe() collects the object schema details and serializes them into a separate object.
  • Want to combine 2 schemas into one? Use the concat() method. Perhaps you are combining multiple objects into one API call body, and therefore want to validate the entire body with one Yup object. concat() will come in handy for this.
  • Aborting validation early. By default Yup runs through an entire validation process and collects errors as it runs, and returns them all once validation is complete. We may not want to do this. We can use abortEarly to stop validation execution as soon as the first error crops up. abortEarly is passed as an options argument within validate():
await checkoutAddressSchema.validate(addressFormData, { abortEarly: false })
  • Yup has some great string utilities, such as trim(), that removes whitespace around a string. uppercase() and lowercase() are available to enforce capitalising or not.
  • Yup also has some great number utilities, such as min() and max(), as well as round()morethan()lessthan(), and truncate().
  • Yup supports regex, allowing you to utilise regular expressions.

Installing Yup in React Projects

Let’s move on how to install Yup in your projects, and visit some resources available for further reading.

Visit the NPMJS page or Github project for their official documentation.

Install yup with npm using the following command:

npm i yup

Importing Yup

Yup has the flexibility to be imported as an entire library, or as separate components that only your component needs.

Import the entire library with:

import * as yup from 'yup';

I recommend importing the entire library as you start developing, saving you the hassle of revisiting your imports every time you introduce a new Yup object as your forms evolve. When your app is ready to be built, revisit Yup to check whether you are only using a limited amount of components — perhaps you are only utilising the required and string objects — in this case we can simply import those 2 things:

import { string, required } from 'yup';

Overall though, if you are utilizing more than around 5 components, it can become a code smell to be importing this many objects.

Where to go from here

Now you should have a solid understanding of what Yup is, why it is used, and perhaps some ideas on how it can be implemented in your projects!

Take some time to explore the documentation, which lists all the validators available. Only after exploring everything the package has to offer will you have a well-rounded understanding of how it can fully benefit your apps.

However, Yup can easily be built upon by simply refactoring your validators, so there is no harm in jumping straight into some implementation to increase familiarity of the workflow, before jumping into more documentation detail.

Yup may continue to play a greater role within your app as development progresses, therefore you may also find yourself refactoring some data structures to further take advantage of the Yup workflow in the form of abstracting your data into smaller, more reusable formats.

Ross Bulat

MS16-047: Security Update for SAM and LSAD Remote Protocols (3148527) (Badlock) (uncredentialed check)


The remote Windows host is affected by an elevation of privilege vulnerability.


The remote Windows host is affected by an elevation of privilege vulnerability in the Security Account Manager (SAM) and Local Security Authority (Domain Policy) (LSAD) protocols due to improper authentication level negotiation over Remote Procedure Call (RPC) channels. A man-in-the-middle attacker able to intercept communications between a client and a server hosting a SAM database can exploit this to force the authentication level to downgrade, allowing the attacker to impersonate an authenticated user and access the SAM database.


Microsoft has released a set of patches for Windows Vista, 2008, 7, 2008 R2, 2012, 8.1, RT 8.1, 2012 R2, and 10.

See More:

Microsoft Windows Remote Desktop Protocol Server Man-in-the-Middle Weakness


It may be possible to get access to the remote host.


The remote version of the Remote Desktop Protocol Server (Terminal Service) is vulnerable to a man-in-the-middle (MiTM) attack. The RDP client makes no effort to validate the identity of the server when setting up encryption. An attacker with the ability to intercept traffic from the RDP server can establish encryption with the client and server without being detected. A MiTM attack of this nature would allow the attacker to obtain any sensitive information transmitted, including authentication credentials.

This flaw exists because the RDP server stores a hard-coded RSA private key in the mstlsapi.dll library. Any local user with access to this file (on any Windows system) can retrieve the key and use it for this attack.


– Force the use of SSL as a transport layer for this service if supported, or/and

– Select the ‘Allow connections only from computers running Remote Desktop with Network Level Authentication’ setting if it is available.

More help:

JavaScript fundamentals for better developers

JavaScript has primitives, objects and functions. All of them are values. All are treated as objects, even primitives.


Number, boolean, string, undefined and null are primitives.


There is only one number type in JavaScript, the double precision floating point. Decimal numbers’ arithmetic is inexact.

As you may already know, 0.1 + 0.2 does not make 0.3 . But with integers, the arithmetic is exact, so 1+2 === 3 .

Numbers inherit methods from the Number.prototype object. Methods can be called on numbers:

(123).toString();  //"123"
(1.23).toFixed(1); //"1.2"

There are global functions for converting to numbers : parseInt()parseFloat()and Number():

parseInt("1")       //1
parseInt("text")    //NaN
parseFloat("1.234") //1.234
Number("1")         //1
Number("1.234")     //1.234

Invalid arithmetic operations or invalid conversions will not throw an exception, but will result in the NaN “Not-a-Number” value. isNaN() can detect NaN .

The + operator can add or concatenate.

1 + 1      //2
"1" + "1"  //"11"
1 + "1"    //"11"


A string stores a series of Unicode characters. The text can be inside double quotes "" or single quotes ''.

Strings inherit methods from String.prototype. They have methods like : substring()indexOf() and concat() .

"text".substring(1,3) //"ex"
"text".indexOf('x')   //2
"text".concat(" end") //"text end"

Strings, like all primitives, are immutable. For example concat() doesn’t modify the existing string but creates a new one.


A boolean has two values : true and false .
The language has truthy and falsy values.
falsenullundefined''(empty string), and NaN are falsy. All other values, including all objects, are truthy.

The truthy value is evaluated to true when executed in a boolean context. Falsy value is evaluated to false. Take a look at the next example displaying the false branch.

let text = '';
if(text) {
  console.log("This is true");
} else {
  console.log("This is false");


An object is a dynamic collection of key-value pairs. A key is a string. The value can be a primitive, object, or function.

The simplest way to create an object is to use an object literal:

let obj = {
  message : "A message",
  doSomething : function() {}

We can read, add, edit and remove an object’s properties at any time.

  • get: object.nameobject[expression]
  • set: = value, object[expression] = value
  • delete: delete object.namedelete object[expression]
let obj = {}; //create empty object
obj.message = "A message"; //add property
obj.message = "A new message"; //edit property
delete obj.message; //delete property

Objects can be used as hash-maps. A simple hash-map can be created using Object.create(null) :

let french = Object.create(null);
french["yes"] = "oui";
french["no"]  = "non";

If you want to make the object immutable, use Object.freeze() .

All object’s properties are public. Object.keys() can be used to iterate over all properties.

function logProperty(name){
  console.log(name); //property name
  console.log(obj[name]); //property value

Primitives vs. Objects

Primitives are treated like objects, in the sense that they have methods but they are not objects.

Primitives are immutable, and objects are mutable.


Variables can be defined using varlet and const.

var declares and optionally initializes a variable. The value of a variable that is not initialize is undefined . Variables declared with var have a function scope.

The let declaration has a block scope.

A variable declared with const cannot be reassigned. Its value, however, can still be mutable. const freezes the variable, Object.freeze() freezes the object. The const declaration has a block scope.

The scope of a variable declared outside any function is global.


JavaScript has array-like objects. An array is implemented using an object. Elements are accessed using their indices. Indices are converted to strings and used as names for retrieving values. In the next example arr[1] gives the same value as arr['1'] : arr[1] === arr['1'] .

A simple array like let arr = ['A', 'B', 'C'] is emulated using an object like the one below:

  '0': 'A',
  '1': 'B',
  '2': 'C'

Removing values from the array with delete will leave holes. splice() can be used to avoid the problem, but it can be slow.

let arr = ['A', 'B', 'C'];
delete arr[1];
console.log(arr); // ['A', empty, 'C']
console.log(arr.length); // 3

JavaScript’s arrays don’t throw index out of range exceptions. If the index is not available, it will return undefined.

Stack and queue can easily be implemented using the array methods:

let stack = [];
stack.push(1);           // [1]
stack.push(2);           // [1, 2]
let last = stack.pop();  // [1]
console.log(last);       // 2
let queue = [];
queue.push(1);           // [1]
queue.push(2);           // [1, 2]
let first = queue.shift();//[2]
console.log(first);      // 1


Functions are independent units of behavior.

Functions are objects. Functions can be assigned to variables, stored in objects or arrays, passed as an argument to other functions, and returned from functions.

There are three ways to define a function:

  • Function Declaration (aka Function Statement)
  • Function Expression (aka Function Literal)
  • Arrow Function

The Function Declaration

  • function is the first keyword on the line
  • it must have a name
  • it can be used before definition. Function declarations are moved, or “hoisted”, to the top of their scope.
function doSomething(){}

The Function Expression

  • function is not the first keyword on the line
  • the name is optional. There can be an anonymous function expression or a named function expression.
  • it needs to be defined, then it can execute
  • it can auto-execute after definition (called “IIFE” Immediately Invoked Function Expression)
let doSomething = function() {}

Arrow Function

The arrow function is a sugar syntax for creating an anonymous function expression.

let doSomething = () => {};

Arrow functions don’t have their own this and arguments.

Function invocation

A function, defined with the function keyword, can be invoked in different ways:

  • Function form
  • Method form
  • Constructor form
new doSomething(arguments)
  • Apply form
 doSomething.apply(theObject, [arguments]), arguments)
  • Bind form
let doSomethingWithObject = doSomething.bind(theObject);

Functions can be invoked with more or fewer arguments than declared in the definition. The extra arguments will be ignored, and the missing parameters will be set to undefined.

Functions have two pseudo-parameters: this and arguments.


this represents the function’s context. Only functions defined with the function keyword have their own this context. Its value depends on how the function was invoked. See below the values of this depending on the doSomething() function invocation form:

function doSomething(){
| Form       | this             |
| Function   | window/undefined |
| Method     | theObject        |
| Constructor| the new object   |
| apply      | theObject        |  
| bind       | theObject        |    


The arguments pseudo-parameter gives all the arguments used at invocation. It’s an array-like object, but not an array. It lacks the array methods.

function reduceToSum(total, value){
  return total + value;
function sum(){
  let args =;
  return args.reduce(reduceToSum, 0);

An alternative is the new rest parameters syntax. This time args is an array object.

function sum(...args){
  return args.reduce(reduceToSum, 0);


A function with no return statement returns undefined. Pay attention to the automatic semi-colon insertion when using return. The following function will not return an empty object, but rather an undefined one.

function getObject(){ 

To avoid the issue, use { on the same line as return :

function getObject(){ 
  return {

Dynamic Typing

JavaScript has dynamic typing. Values have types, variables do not. Types can change at run time.

function log(value){
log({message : "text"});

The typeof() operator can check the type of a variable.

let n = 1;
typeof(n);   //number
let s = "text";
typeof(s);   //string
let fn = function() {};
typeof(fn);  //function

A Single Thread

The main JavaScript runtime is single threaded. Two functions can’t run at the same time. The runtime contains an Event Queue which stores a list of messages to be processed. There are no race conditions, no deadlocks. However, the code in the Event Queue needs to run fast. Otherwise the browser will become unresponsive and will ask to kill the task.


JavaScript has an exception handling mechanism. It works like you may expect, by wrapping the code using the try/catch statement. The statement has a single catch block that handles all exceptions.

It’s good to know that JavaScript sometimes has a preference for silent errors. The next code will not throw an exception when I try to modify a frozen object:

let obj = Object.freeze({});
obj.message = "text";

Strict mode eliminates some JavaScript silent errors. "use strict"; enables strict mode.

Prototype Patterns

Object.create(), Constructor Function, and class build objects over the prototype system.

Consider the next example:

let service = {
 doSomething : function() {}
let specializedService = Object.create(service);
console.log(specializedService.__proto__ === service); //true

I used Object.create() to build a new object specializedService which has the service object as its prototype. This means that doSomething() is available on the specializedService object. It also means that the __proto__property of specializedService points to the service object.

Let’s now build a similar object using class.

class Service {
class SpecializedService extends Service {
let specializedService = new SpecializedService();
console.log(specializedService.__proto__ === SpecializedService.prototype);

All methods defined in the Service class will be added to the Service.prototype object. Instances of the Service class will have the same prototype (Service.prototype) object. All instances will delegate method calls to the Service.prototype object. Methods are defined once on Service.prototype and then inherited by all instances.

Prototype chain

Objects inherit from other objects. Each object has a prototype and inherits their properties from it. The prototype is available through the “hidden” property __proto__ .

When you request a property which the object does not contain, JavaScript will look down the prototype chain until it either finds the requested property, or until it reaches the end of the chain.

Functional Patterns

JavaScript has first class functions and closures. These are concepts that open the way for Functional Programming in JavaScript. As a result, higher order functions are possible.

Closure is an inner function that has access to the parent function’s variables, even after the parent function has executed.

A higher order function is a function that takes another function as an input, returns a function, or does both.

For more on the JavaScript functional side take a look at:

Discover the power of first class functions

How point-free composition will make you a better functional programmer

Here are a few function decorators you can write from scratch

Why you should give the Closure function another chance

Make your code easier to read with Functional Programming

How to learn Machine Learning

Photo by Alex Knight on Unsplash


Machine Learning has traditionally been a technology that only PhDs and institutions with lots of financial resources could utilize. But nowadays, there are so many tools out there that allow anyone to get started learning Machine Learning. No excuses!

In this blog post, I’ll highlight the four foundation stones of Machine Learning, and how each of them has been democratized in the past few years.

If you want to stay up to date with my latest AI content, make sure to subscribe to my YouTube channel.

The four foundation stones of Machine Learning are datacomputationsalgorithms, and education.


Check out this amazing list of public datasets on GitHub. And if that’s not enough, Kaggle has some amazingly polished datasets available as well. Whether you are using publicly available datasets, or scraping data from the web via Python libraries like scrapy, everyone has access to quality datasets now.

Of course, the big tech companies have walled data gardens of their own, but decentralized startups like OpenMined are working hard to create services to allow data scientists to train their models on that data as well.


Got GPUs? Machine learning, and especially deep learning, require lots of expensive computations. Neural networks require the use of massively parallel computations, which GPUs are well suited for.

Unfortunately, GPUs can be very expensive. But with tools like Google’s CoLabor Kaggle’s Kernels, anyone can run machine learning code in the browser using free (Tesla K80) GPUs.


Algorithms are a commodity. Luckily for us, the machine learning field has built a culture of open source code and lots of result sharing. Whether its at the annual NIPS or ICLR conference, researchers tend to be very happy with sharing their results.

If you want to keep up with the latest research, you can use the Arxiv Sanity Preserver to read the latest papers in a beautifully indexed way. And there’s of course the machine learning subreddit. You can either use existing code, or use the free Tensorflow library to build your own models.


With great power comes great responsibility. You’ve got the code, you’ve got the data, you’ve got the computing power. Now you just need to be educated on how to use them!

Besides my YouTube channel of course, there are a ton of free educational resources out there to help you learn how to use the tools of machine learning. I made a three month machine learning curriculum that uses all of the above resources and several I’ve found on the Web to help a beginner get started. You’ll find that here.

Go forth and learn!

You should be excited right now. This is an incredible time to be alive! There are so many changes happening so fast. Amidst all this complexity, machine learning can help us understand our world in ways we couldn’t otherwise. It can help us create and discover new things orders of magnitude more efficiently than ever before. You’ve got the power, use it wisely.