Introduction

Against the backdrop of the coronavirus pandemic, the demand for cloud gaming services has noticeably increased. These services provide computing power to launch video games and stream gameplay to user devices in real-time. The most obvious advantage of this gaming type is that gamers do not need to have high-end hardware. An inexpensive computer is enough to run the client, spending time in self-isolation while the remote server carries out all calculations.

NVIDIA GeForce NOW is one of these cloud-based game streaming services. According to Google Trends, worldwide search queries for GeForce NOW peaked in February 2020. This correlates with the beginning of quarantine restrictions in many Asian, European, and North and South American countries, as well as other world regions. At the same time in Russia, where the self-isolation regime began in March, we see a similar picture with a corresponding delay.

Given the high interest in GeForce NOW, we decided to explore this service from an information security standpoint.

It feels like Scrum has been around forever and everybody knows what it is and has interacted with it in one way or another.

Indeed, there were times when everything around scrum was innovative, valuable and efficient: from planning to sprints and so on.

However, recently the number of negative reviews has been escalating.

Introduction

In my opinion transaction management is a really important topic for each backend developer. In general, people don’t pay attention to it while using Spring framework.

But I think, it is important to know how to use transactions properly. Because sometimes can happen that there was an exception thrown inside your method, but transaction was not rolled back and it is not clear why? Or some other “strange” cases.

Intro

PXE is a great solution for booting a diskless computer (or a computer without an OS installed). This method is often used for terminal stations and OS mass installation.

Stock ubuntu (16.04) in pxe-mode can mount rootfs only from NFS. But this is not a great idea: any difficulties with the network/NFS server and the user gets problems.

In my opinion, it's best to use other protocols, such as http/ftp. Once booting, you will have an independent system

Even the most experienced and highly qualified system administrators often have only a vague idea of what exactly happens during the server startup process. So, let's look at this process in detail.

We've already discussed some object-level locks (specifically, relation-level locks), as well as row-level locks with their connection to object-level locks and also explored wait queues, which are not always fair.

We have a hodgepodge this time. We'll start with deadlocks (actually, I planned to discuss them last time, but that article was excessively long in itself), then briefly review object-level locks left and finally discuss predicate locks.

Deadlocks

When using locks, we can confront a deadlock. It occurs when one transaction tries to acquire a resource that is already in use by another transaction, while the second transaction tries to acquire a resource that is in use by the first. The figure on the left below illustrates this: solid-line arrows indicate acquired resources, while dashed-line arrows show attempts to acquire a resource that is already in use.

To visualize a deadlock, it is convenient to build the wait-for graph. To do this, we remove specific resources, leave only transactions and indicate which transaction waits for which other. If a graph contains a cycle (from a vertex, we can get to itself in a walk along arrows), this is a deadlock.

The lens in your eye can change its optical power: when you focus somewhere on the vision, this is what happens. Payback for the «moving parts of the mechanism» — wear with age. At about 40-45 years old, problems usually begin with age-related visual impairment; in 60-70 years, you need up to three pairs of different points. At the same time, the clarity of view is reduced due to the process of sclerosis and lens opacity — it is worth thinking about replacing the lens, until it becomes dim and becomes completely rigid.

To date, the technology of replacing the lens is standardized and well developed. Potential risks are generally somewhat higher than with laser vision correction, but at present this type of surgery is performed even on transparent lenses with refractive purpose (when the patient does not like to wear glasses with thick glasses), that is, it is quite a “household” task for ophthalmology.

This article was written in Russian in 2019 after the PostgreSQL 12 feature freeze, and it is still up-to-date. Unfortunately other patches of the SQL/JSON will not get even into version 13.

Many thanks to Elena Indrupskaya for the translation.

JSONPath

All that relates to JSON(B) is relevant and of high demand in the world and in Russia, and it is one of the key development areas in Postgres Professional. The jsonb type, as well as functions and operators to manipulate JSON/JSONB, appeared as early as in PostgreSQL 9.4. They were developed by the team lead by Oleg Bartunov.

The SQL/2016 standard provides for JSON usage: the standard mentions JSONPath — a set of functionalities to address data inside JSON; JSONTABLE — capabilities for conversion of JSON to usual database tables; a large family of functions and operators. Although JSON has long been supported in Postgres, in 2017 Oleg Bartunov with his colleagues started their work to support the standard. Of all described in the standard, only one patch, but a critical one, got into version 12; it is JSONPath, which we will, therefore, describe here.

On April 8, PostgreSQL feature freeze took place, so only features committed earlier will get into version PostgreSQL 13. Probably, this version can hardly be considered revolutionary, since it has no conceptual changes. Some of critical patches were late to get into it, such as Table and Functions for the JSON/SQL standard, which had been desirable to be part of PostgreSQL 12, along with the JSONPath patch; plug-in warehouses did not appear either — only the interface is being finalized. The list of improvements is still impressive. We prepared a pretty complete overview of the patches included in the Baker's Dozen.

Honda, a Japanese car manufacturer has demonstrated outstanding results in their recent project intended to reduce the weight of the crankshaft and increase its fuel efficiency. In order to carry out such a redesign in an effective and timely-fashioned manner, the company collaborated with Autodesk and applied its software solutions, as well as various 3D-printing technologies.

5G ( Fifth Generation Wireless Cellular Network) is not just a possibility anymore. The forthcoming of 2020 has unfold avenues for 5G browser capabilities in smartphones.

With the recent 5G rollout, it has been predicted that over 1.4 billion devices will be running on the 5G network by 2025 — accounting for 15% of the global total.

Source: Google Images

You've optimized all of the low-hanging fruits of your game. Except that you didn't. You missed a sneaky, non-so-obvious spot: optimizing your Unity Scene Hierarchy.

What's the crack with the hierarchy now?

I want to show you something.

Does the New Year have you scrambling to wrap up last year’s software development projects? Don’t archive your Jira tickets and Trello boards too quickly!

A good rule of thumb in software development is that your next software project should always be better than your last. Why? Because the lessons you learn and take away from each project should be continuously documented and applied in future projects.

In the words of Rachel Green, every good project should end with closure.



Follow this quick and easy 6-step guide to ensure that you wrap up your software project efficiently and effectively.

6 Steps for Successfully Wrapping up a Software Development Project

1. Document future needs

Over some time in different jobs, I came across a need for several utilities that I couldn't find available at the time. And I saw that I needed them several times over and over again. So I wrote my own small library that I found very useful. So I just published it as an open-source java library.

Here is the Github link

Javadoc online is available here

Also, this library is available on Maven Central. Here are the Maven artifacts (the version 1.5.1.2 is the latest at the time of writing of this article but might change in the future. To check for the latest version search for artifact «MgntUtils» at http://search.maven.org/):

<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>

Below is just a short explanation of what is there. The library comes with a nicely written (I hope) JavaDoc with a detailed description. So here is the list of features:

Launched in 2013, React has been successfully used to develop 1,004,124 websites in the past 6 years. The Javascript library React JS is known for giving simple programming experience and improved performance.

It was released by Facebook to resolve the issues of coding and maintenance with their ads. It was developed with an intention to increase and manage Facebook ads traffic. React has successfully delivered the expected outcomes throughout its journey.

Today we have another high-quality Microsoft project to be checked, which we'll heroically delve into trying to find errors with PVS-Studio. SARIF, an acronym for Static Analysis Interchange Format, which is a standard (file format), designed to interact and share the results of static analyzers with other tools: IDEs, complex code verification and analysis tools (e.g. SonarQube), continuous integration systems, etc. SARIF SDK, respectively, contains .NET developer tools to support SARIF as well as additional files.

When it comes to code in JavaScript, developers found reduce function as one of the toughest concepts to crack. According to Wikipedia, Reduce has multiple names viz. Accumulate, Fold, Compress and Aggregate. These names clearly indicate the meaning & working of reduce function. The idea behind this is to break down a structure into a single value. Hence, Reduce can be defined as a function which converts a list into any data type.

For example, you can reduce an array [5,4,3,2,1] into the value 15 by just adding them.

Reduce function keeps developers away from using loop in order to fold a list into a single value.

In this blog, you will learn ways to implement well-known functions using reduce as already done by developers in top software development company.

I have listed out 10 JavaScript utility functions recreated using reduce function. So, check out below these functions:-

• Map

Parameters used

array (to transform list of items), transform Function (is a function used to run on each element)

Working

By using the given transformFunction, each element in the given array get transformed and returns new array of items.

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']

Though it seems we are just a few months away from reaching 2020, these months are also important in the field of software development. Here in this article, we will see how the coming year 2020 will change the lives of software developers!

Future Software Development Is Here!

Traditional software development is about developing software by writing code and following some fixed rules. But the present-day software development witnessed a paradigm shift with advances in Artificial Intelligence, Machine Learning, and Deep Learning. With the integration of these three technologies, developers will be able to build software solutions that learn the instructions and add extra features and patterns in data that are needed for the desired outcome.

Also read: How Blockchain is helping the healthcare sector?

Let’s Try Out With Some Code

Over time, the neural network software development systems have become more complex in terms of integrations as well as layers of functionality and interfaces. Developers can build a very simple neural network with Python 3.6. Here’s an example of a program that does binary classification with 1 or 0.

Of course, we can start by creating a neural network class:


import numpy as np

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

Applying the Sigmoid function:

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

Training the Model With Initial Weights and Biases:

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))

For beginners, if you need help regarding neural networks, you can get in touch with top software development company.Or, you can hire AI/ML developers to work on your project.

ML.NET is a cross-platform, machine learning framework for .NET developers, and Model Builder is the UI tooling in Visual Studio that uses Automated Machine Learning (AutoML) to easily allow you to train and consume custom ML.NET models. With ML.NET and Model Builder, you can create custom machine learning models for scenarios like sentiment analysis, price prediction, and more without any machine learning experience!

ML.NET Model Builder

This release of Model Builder comes with bug fixes and two exciting new features:

• 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

We’re announcing .NET Core 3.1 Preview 2. .NET Core 3.1 will be a small and short release focused on key improvements in Blazor and Windows desktop, the two big additions in .NET Core 3.0.. It will be a long term support (LTS) release with an expected final ship date of December 2019.

You can download .NET Core 3.1 Preview 2 on Windows, macOS, and Linux.

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

ASP.NET Core and EF Core are also releasing updates today.

Visual Studio 16.4 Preview 3 and Visual Studio for Mac 8.4 Preview 3 are also releasing today. They are required updates to use .NET Core 3.1 Preview 2. Visual Studio 16.4 includes .NET Core 3.1, so just updating Visual Studio will give you both releases.

Details:

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