JavaScript *

UPD: When we posted this article, Uncle Bob had our conferences in his schedule. Unfortunately, the situation has changed. We updated this post on March 12, to avoid any misunderstanding.

Introduction

Outstanding loading speed is an essential website feature for a high ranking in SERP (Search Engine Result Pages). PageSpeed Insights by Google is an excellent tool for precisely that — optimizing your website’s loading speed. Let’s say you’re using this tool and get the “Eliminate render-blocking JavaScript and CSS in above-the-fold content” warning. No need to worry! In this tutorial, I will show you how to address the issue.

What is a Node.js Framework?

Today we start to share with you the most exciting and noticeable Svelte community's content. Welcome to the article, comrades!

Problem

Authorization is one of the first problems developers face upon starting a new project. And one of the most common types of authorization (from my experience) is the token-based authorization (usually using JWT).

From my perspective, this article looks like "what I wanted to read two weeks ago". My goal was to write minimalistic and reusable code with a clean and straightforward interface. I had the next requirements for my implementation of the auth management:

• Tokens should be stored in local storage
• Tokens should be restored on page reload
• Access token should be passed in the network requests
• After expiration access token should be updated by refresh token if the last one is presented
• React components should have access to the auth information to render appropriate UI
• The solution should be made with pure React (without Redux, thunk, etc..)

• Map

Parameters used

Working

How to implement?

const map = (transformFunction, array1) =>
  array1.reduce((newArray1, xyz) => 
{
	newArray1.push(transformFunction(xyz));

	return newArray1;
  }, 
[]
);

Use case:

const double = (x) => x * 2;
const reverseString = (string) =>
  string
	.split('')
	.reverse()
	.join('');

map(double, [200, 300, 400]);

Output: [400, 600, 800]

map(reverseString, ['Hello Alka', 'I love cooking']);
// ['alkA olleH', ‘gnikooc evol I']

Future Software Development Is Here!

Let’s Try Out With Some Code

X=np.array([[0,1,1,0],[0,1,1,1],[1,0,0,1]])
y=np.array([[0],[1],[1]])

def sigmoid ():
   return 1/(1 + np.exp(-x))
def derivatives_sigmoid ():
   return x * (1-x)

epoch=10000
lr=0.1
inputlayer_neurons = X.shape[1]
hiddenlayer_neurons = 3
output_neurons = 1

wh=np.random.uniform(size=(inputlayer_neurons,hiddenlayer_neurons))
bh=np.random.uniform(size=(1,hiddenlayer_neurons))
wout=np.random.uniform(size=(hiddenlayer_neurons,output_neurons))
bout=np.random.uniform(size=(1,output_neurons))