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During the lockdown, which is now weakening, then becoming more active with a vengeance, a huge number of new professions have appeared. Proficients in creating involving Instagram Stories, course producers, e-learning specialists and other unknown-before-creatures - all of them have mastered a new job that gave them the holy bread in the pandemic. Once you hire a creator of involving Instagram Stories (and let's all hope this person was teached by a professional, not a snake oil salesman), your business grows just with adding some creativity in advertising that will take the heart of even the most fastidious customer. Same works with e-learning specialists: you recruit them and they do all the important tasks from writing articles that will also help in promoting your classes to arranging lessons on your Coursera course. A complete flight of imagination: if it seems to you that some jobs don't exist, then you just don't spend enough time online. In general, online work has become popularized as never and now hardly anyone will say: "He is engaged in some kind of garbage - he makes TikToks but it would be better for him to toil at the factory!". In total, online work has become popularized as never and now hardly anyone will say: "He is engaged in some kind of garbage - he makes TikToks, but it would be better for him to toil at the factory!".

PVS-Studio is a static analysis tool that helps find errors in software source code. This time PVS-Studio looked for bugs in Storm Engine's source code.

The new issue of DataScienceDigest is here!

The impact of NLP and the growing budgets to drive AI transformations. How Airbnb standardized metric computation at scale. Cross-Validation, MASA-SR, AgileGAN, EfficientNetV2, and more.

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Hackathons could be very intimidating and stressful. The key to getting better is doing simple projects. In this article, we will look at an example of a web app that can be used for sharpening your skills when you prepare for a hackathon. We will use a powerful Google API based on Machine Learning and apply the following technologies: ASP.NET, HTML, Docker, Heroku, and Git.

One of the main challenges in the world of web development is to achieve a seamless user experience. Many factors come into play when trying to achieve the goal of a smooth UX. The user interface, the load-time of webpages, and updating any data/input sent, are some prominent examples.

All web development frameworks offer tools that enable the developer to make the UX as smooth as possible. After all, it’s an important aspect of a website. In the case of the popular front-end framework Angular, such a tool is the RxJS library.

Through RxJS, Angular applications can employ the reactive programming and functional programming paradigms to ensure a smoothly working inside-out. This article acts as a quick guide to RxJS and how it is used in Angular applications. It will discuss some of its robust features and give you their flavor through code examples. Using RxJS to speed up and improve an Angular application’s UX is common practice and this article will show you why.

What Does RxJS Do Exactly?

In the everyday workings of a website, it handles different requests and events. Requests like inputting/outputting certain data or transforming some data, and events like responding to a mouse click or keyboard key press. If all of the requests and events are coming in one after another (synchronously), they are responded to in that order. However, few frameworks can respond quickly and reactively in the case of asynchronous requests and events.

RxJS is a JavaScript library of functions that allow to smoothly handle asynchronous events and requests. The name comes from the fact that it enables reactive programming in JavaScript. It allows for playing with and tracking time in your Angular application. The amount of time between responses or events can be fine-tuned as required through RxJS, letting the developer control the responsiveness of the application.

Originally posted on DEV.to

In my previous post, I touched on the point that Redis is more than just an in-memory cache.

Most people do not even consider Redis as a primary database. There are a lot of use cases where Redis is a perfect choice for non-cache related tasks.

In this article, I will demonstrate how I built a fully functional Q&A board for asking and upvoting the most interesting questions. Redis will be used as a primary database.

I will use Gatsby (React), Netlify serverless functions and Upstash Serverless Redis.

Upstash has been a good choice so far and I decided to try it out in a more serious project. I love everything serverless and how it makes things simpler for me.

Serverless will be a great choice for most tasks however you need to know the pros and cons of the tech you are using. I encourage you to learn more about serverless to get the most out of it.

The software development world is a dynamic one. Tools and applications are constantly upgrading and getting better to make advanced technology possible. Technologies that do not upgrade will eventually become obsolete and fade away with time. The principle of constant upgrading is especially true for the really popular tools, like the front-end framework Angular. To provide developers with a more robust and solid front-end development experience, Angular introduced a cutting-edge compilation and rendering pipeline in their version 9. The new engine was christened Ivy.

With Ivy, Angular aimed to double down on the advantages it traditionally offered. This article will take you through all the new advancements that come bundled with Ivy. It will also quickly go through what is deprecated and how it handles Angular applications made on the previous View engine. Angular Ivy was made to accommodate all exciting new developments that could be needed in the future. This article talks about the updates that followed the original rollout.

What’s New In Angular Ivy

Ivy was introduced as the default engine with Angular’s version 9 and continues to support subsequent versions. One of the main aims of Angular’s Ivy engine was to amplify the performance and minimize the file size of Angular applications. The development team behind Angular employed different techniques to achieve the aim of faster and lighter Angular applications. The prominent strategies behind Ivy are discussed below:

The Ivy Compiler

The developer or owner of a software product often faces the question of choosing a suitable location for hosting server capacity. As you know, software always meets hardware.

We don't often get the chance to write something on parallel programming issues. This time we "got lucky". The TraceEvent standard method has some implementation peculiarities. They resulted in an error with multiple threads blocking. So we'd like to warn users about this nuance and cover this interesting case from our users support practice. Why was our support involved? Keep reading to find out. Enjoy the reading!

It is an efficient searching technique. Searching is a widespread operation on any data structure. Hashing is used to search specific records from a large domain of records. If we can efficiently search a record out of  many records, we easily perform different operations on that data. Hashing is storing and retrieving data from the database in the order of O(1) time. We can also call it the mapping technique because we try to map smaller values into larger values by using hashing.

Following are the significant terminologies related to hashing

Search Key

In the database, we usually perform searching with the help of some keys. These keys are called search keys. If we take the student data, then we search by some registration number. This registration number is a search key. We have to put the search keys in hash tables.

Hash Table

It is a data structure that provides us the methodology to store data properly. A hash table is shown below. It is similar to an array. And we have indexes in it also like an array.

Searching is the method to search for a specific element in a group of an element. It needs a unique identity that is associated with the desired element. As a unique identity of that desired element has been found, the index to that desired element is returned.  The index indicates the location or address where that specific element has been found in the list elements of the array. If the desired data is found, particular data has been returned. Otherwise, it returned a null value.

There are several categories of search algorithms such as.

In the previous article we refreshed our memory of WebRTC CDN and the ways this technology helps to minimize latency for WebRTC streams. We also discussed why load balancing and autoscaling wouldn't be amiss in CDNs. Here are the main points from the article:

The modern browsers do not give users a choice between using WebRTC and not using it. And while you can playback streams using HLS or MSE, WebRTC remains the only tool for capturing camera feeds and publishing streams from a browser. The browser developers have accepted this "format" and integrated it into their products – just as they used to support the Flash Player as a plugin. The only difference is that WebRTC comes natively integrated into the browser — as code, not a plugin. If, in a few years, a new and better library for video streaming is introduced they will undoubtedly make a switch. But these days, Chrome maintains its dominance, so no contenders for WebRTC are in sight.

We know many ways to detect performance problems, such as extremely low speed and high memory consumption. Usually tests, developers, or testers detect such applications' drawbacks. In the worst case, users find weaknesses and report back. Alas, detecting defects is only the first step. Next, we should localize the problem. Otherwise, we won't solve it. Here comes a question - how to find weak points that lead to excessive memory consumption and slow down in a large project? Are there such at all? Maybe it's not about the application? So now you're reading a story how PVS-Studio C# developers encountered a similar problem and managed to solve it.

Setting up Atom for working with python is quite a tricky task. I've spent a lot of time making it work. Autocompleting, autoformatting, type hints, and much more will be available to you after reading this tutorial.

The vast majority of IT specialists in various fields strive to perform manually as few actions as possible. I won't be afraid of the loud words: what can be automatized, must be automatized!

Let's imagine a situation: you need to deploy a lot of servers of the same type and do it quickly. Quickly deploy, quickly undeploy. For example, to deploy test rigs for developers. When development is carried out in parallel, you may need to separate the developers, so they don't impede each other and possible errors of one of them don't block the work of the others.

There may be several ways to solve this problem:

These days, video streaming mobile apps have been witnessed with an increased spike of subscribers & now much video content is being much cherished without any interruptions via a streaming app. 

This is duly because catering to the prerequisite needs of end-users have popularized several VOD streaming services that has bought keen interest as compared to to the big black box which is slowly diminishing its presence. 

According to recent forecasted data, there is a positive anticipation of the entire VOD streaming  platform development’s  market to expand its size & peak its value by $842.93 billion by the year 2027! Source: Softermii 

The new issue of DataScienceDigest is here!

Machine learning in healthcare, the top 10 TED talks on AI, fraud detection in Uber, DatasetGAN, Text-to-Image generation via transformers, and more…

As you know, YouTube doesn't have a feature for capturing an RTSP stream, but we would like to change this and help YouTube to make their viewers happy.

When building any kind of application, it is often seen that a certain functionality is needed again and again at different points. It could be the functionality to display something in a certain way or retrieve data from a source, to name a few examples. Such a common case like this can appear in all kinds of development, be it front-end or back-end. A robust front-end development framework like Angular handles such a case by allowing the development of objects that can be imported by any part as needed. These objects can extract some common logic or data are known as services.

This article helps you understand what Angular services are and what are the different kinds of use-cases they can be used in. Angular services are not limited to one particular type of job and can contain methods that are repeatedly required by different components of the application. Afterward, this article will show what it is like to code service and what makes it accessible to any of the components.

The Gist Of What Angular Services Are

Given how fundamental components are to Angular applications, it is important to briefly go through them to further understand any other concept, like services. Apart from that, components and services are often confused with each other as well. Hence, it is necessary to refresh our understanding of components.

Components are the very backbone of Angular applications. All the different functionalities or visual elements of the application are attributed to a component. Every component contains the working logic for the functionality or visual element and the instructions for its visual rendering. Every Angular application is based on a tree of components. In the component tree, every component working is dependent on or consists of, other component(s).