Articles

If you are building an application using Node.js, it can get a little overwhelming since there are a variety of databases to choose from and different ways to build APIs. One way to reduce development time and focus on the problem you are trying to solve is to use a Database as a service to store the data. The advantage of this approach is to use a cloud database system without purchasing hardware which can be cost and time-effective.

One such database service is HarperDB Cloud. To build REST APIs rapidly this service allows us to perform all database operations using a single endpoint. It supports a variety of programming languages such as JavaScript, Java, Python, and so on. Some of the features of HarperDB are the following:

Source de l’article sur DZONE

In this sample, we will implement the server-side of a client-server style messaging app. To do so, you could use your preferred programming language, but for speed, we’ll use Linx, a low-code developer tool for backend APIs, integrations, and automation.

For a quick review of Linx and how it works, see this video.

Scope

We will implement some web methods, which will be useful for creating a messaging client. However, the following items fall outside the scope of this sample:

Source de l’article sur DZONE

The concept of coroutine must be familiar to everyone now. After all, not only LUA, Go, and Kotlin but also C++ all support coroutines.

But different languages have different implementations. Such as LUA, coroutines will be scheduled when someone called yield() or resume().

Source de l’article sur DZONE

Applications used in the field of Big Data process huge amounts of information, and this often happens in real time. Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. To achieve high reliability, one needs to keep a wary eye on the code quality of projects developed for this area. The PVS-Studio static analyzer is one of the solutions to this problem. Today, the Apache Flink project developed by the Apache Software Foundation, one of the leaders in the Big Data software market, was chosen as a test subject for the analyzer.

So, what is Apache Flink? It is an open-source framework for distributed processing of large amounts of data. It was developed as an alternative to Hadoop MapReduce in 2010 at the Technical University of Berlin. The framework is based on the distributed execution engine for batch and streaming data processing applications. This engine is written in Java and Scala. Today, Apache Flink can be used in projects written using Java, Scala, Python, and even SQL.

Source de l’article sur DZONE

Suppose you have an opportunity to create a project on AI. Consider these five stages before starting. These five are learning, programming language, knowledge representation, problem solving, and hardware.

1. Learning Process

Learning means adding new knowledge to the knowledge base and improving or refining previous knowledge.

Source de l’article sur DZONE

Every week users submit a lot of interesting stuff on our sister site Webdesigner News, highlighting great content from around the web that can be of interest to web designers.

The best way to keep track of all the great stories and news being posted is simply to check out the Webdesigner News site, however, in case you missed some here’s a quick and useful compilation of the most popular designer news that we curated from the past week.

34 Impressive Examples of Fullscreen Navigation Menus

 

Radix Icons – An Open Source Crisp Set of 15×15 Icons

 

Nocode – Turn Google Docs into a Website

 

How to Design a Great Dashboard for your UI

 

The Most Futura. Ever.

 

5 Mistakes to Avoid When Designing your Nonprofit Website

 

UCalc – Functional Calcs and Forms

 

AreYouInterested – A Super-Simple Landing Page Builder for Bulk Idea Validation

 

Unlearning to Learn Design

 

Just FYI: Acronyms are Hurting your UX and ROI

 

3 Concrete Steps to Learning a Programming Language

 

MathJax – Beautiful and Accessible Math in all Browsers

 

What is a WordPress Child Theme?

 

How to Create a UX Writing Portfolio

 

A Step-By-Step Guide to User Experience Research

 

5 Most Common Mistakes in FinTech Design

 

31 Ways to Improve your Web Design Skills

 

Designing the Ada Lovelace Hashflag Emoji

 

Powered by Buttons – An Acquisition Channel Nobody is Talking About

 

Top 10 Tools for Managing Remote Teams Efficiently

 

Email Design Accessibility: Why it is Important to Improve it

 

Why Web Design Client Referrals Aren’t a Slam-Dunk

 

Host Rider: A Game for Learning CSS Flexbox

 

Stanza – Learn Coding Concepts Faster

 

How to Present your Logos to the Client

 

Want more? No problem! Keep track of top design news from around the web with Webdesigner News.

Source


Source de l’article sur Webdesignerdepot

If any company wants to succeed in the market, it needs to strengthen its digital presence. Though social media provides a place to gain some attention, it is impossible to create a brand without an official web page. This is why businesses hire firms offering web development services to get their website designed, which would enable them to get as much traction as possible. 

Web development covers actions such as web design, programming, content creation, network security tasks, and server-side & client-side scripting. Among the technologies available for web development, most web development companies make their programming choice between PHP and.NET.

Source de l’article sur DZONE

A data scientist extracts manipulate and generate insights from humongous data. To leverage the power of data science, data scientists apply statistics, programming languages, data visualization, databases, etc.

So, when we observe the required skills for a data scientist in any job description, we understand that data science is mainly associated with Python, SQL, and R. The common skills and knowledge expected from a data scientist in the data science industry includes – Probability, Statistics, Calculus, Algebra, Programming, data visualization, machine learning, deep learning, and cloud computing. Also, they expect non-technical skills like business acumen, communication, and intellectual curiosity.

Source de l’article sur DZONE

Though I have worked on Java for more than a decade, I have not had a chance to work on Groovy. While working for API Integration into Jenkins CI/CD pipeline, I extensively used Groovy to invoke REST API, validate the user input parameters, and business logic for that. After that, I found that Groovy is a fascinating program language for Java developers.

Why Is Groovy Easy for Java Developers?

It allows to use the Java syntax liberally and tries to be as natural as possible for Java developers. It is an object-oriented dynamic programming language for Java virtual machine (JVM) and can be integrated smoothly with any Java Program. The groovy syntax is lucid, familiar, and direct that makes to develop projects faster and easier. It demands a shorter learning curve for Java Developer to develop, test, and integrate to make production-ready code in a short span.

Source de l’article sur DZONE