<dependency>
     <groupId>com.github.michaelgantman</groupId>
     <artifactId>MgntUtils</artifactId>
     <version>1.5.1.2</version>
</dependency>

 <dependency>
     <groupId>com.github.michaelgantman</groupId>
     <artifactId>MgntUtils</artifactId>
     <version>1.5.1.2</version>
     <classifier>javadoc</classifier>
</dependency>

<dependency>
     <groupId>com.github.michaelgantman</groupId>
     <artifactId>MgntUtils</artifactId>
     <version>1.5.1.2</version>
     <classifier>sources</classifier>
</dependency>

• 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))

ML.NET Model Builder

• Image classification scenario – locally train image classification models with your own images
• Try your model – make predictions on sample input data right in the UI

• .NET Core 3.1 Preview 2 SDK and Runtime
• Docker images

• .NET Core 3.1 release notes
• GitHub release
• GitHub issue for Preview 2

• UI-dense forms over data (FOD) applications
• Responsive low-latency UI
• Applications that need to run offline/disconnected
• Applications with dependencies on custom device drivers

What is Blazor Server?

• .NET Core 3.0 SDK and Runtime
• Docker images

• .NET Core 3.1 release notes

This article we are going to learn is: How to install and run the swoft websocket server.

This article is one of a series of articles on the Swoft WebSocket Server. Let's learn about Swoft!

What is Swoft?

Swoft is a PHP high performance microservice coroutine framework. It has been published for many years and has become the best choice for php.

It can be like Go, built-in coroutine web server and common coroutine client and is resident in memory, independent of traditional PHP-FPM.

There are similar Go language operations, similar to the Spring Cloud framework flexible annotations.

Through three years of accumulation and direction exploration, Swoft has made Swoft the Spring Cloud in the PHP world, which is the best choice for PHP's high-performance framework and microservices management.

Github

• https://github.com/swoft-cloud/swoft

This post is a small abstract of full-scaled research focused on keyword recognition. Technique of semantics extraction was initially applied in field of social media research of depressive patterns. Here I focus on NLP and math aspects without psychological interpretation. It is clear that analysis of single word frequencies is not enough. Multiple random mixing of collection does not affect the relative frequency but destroys information totally — bag of words effect. We need more accurate approach for the mining of semantics attractors.

List of the Top Software Development Companies

Vepp is our new panel for managing servers and websites. At first, we just wanted to transform the interface of ISPmanager 5 but at the designing phase, we figured that (changing) the interface is not enough. We have to change the approach to modern user’s needs and tasks. As a matter of fact, it meant that we had to create a whole new product.

In the article, we’ll explain why we couldn’t make do with only cosmetic changes to ISPmanager 5 and show the result of the global overhaul.

Here’s a quick look at algorithm vectorization capabilities in .NET Framework and .NET Core. This article is for those who know nothing about these techniques. I will also show that .NET doesn’t actually lag behind "real compiled" languages for native development.

Unfortunately, the only course available in English at the moment is 2-Day Introduction to PostgreSQL 11.

1. Isolation as understood by the standard and PostgreSQL (this article).
2. Forks, files, pages — what is happening at the physical level.
3. Row versions, virtual transactions and subtransactions.
4. Data snapshots and the visibility of row versions; the event horizon.
5. In-page vacuum and HOT updates.
6. Normal vacuum.
7. Autovacuum.
8. Transaction id wraparound and freezing.

And before we start, I would like to thank Elena Indrupskaya for translating the articles to English.

Overview

What is Swoft?

Swoft is a PHP high performance microservice coroutine framework. It has been published for many years and has become the best choice for php. It can be like Go, built-in coroutine web server and common coroutine client and is resident in memory, independent of traditional PHP-FPM. There are similar Go language operations, similar to the Spring Cloud framework flexible annotations.

Through three years of accumulation and direction exploration, Swoft has made Swoft the Spring Cloud in the PHP world, which is the best choice for PHP's high-performance framework and microservices management.