Articles

Every day design fans submit incredible industry stories to our sister site, Webdesigner News. Our colleagues sift through it, selecting the very best stories from the design, UX, tech, and development worlds and posting them live on the site.

The best way to keep up with the most important stories for web professionals is to subscribe to Webdesigner News or check out the site regularly. However, in case you missed a day this week, here’s a handy compilation of the top curated stories from the last seven days. Enjoy!”

4 Examples of Headless WordPress ECommerce Websites

Laravel 9 is Now Released

Free Web Development Courses for Beginners

15 Best New Fonts, February 2022

Illustrator Tutorial: Sketch to Vector Character Illustration

Replace JavaScript Dialogs with the New HTML Dialog Element

Pixel Editor – Generate Dynamic Pixel Grid

ToolJet – Open-source Low-code Platform to Build Internal Tools

Why do We Round Corners?

Design Memes!

9 Web Design Trends to Watch in 2022 [Infographic]

Top 10 Graphic Design Trends to Inspire your Work in 2022

Source

The post Popular Design News of the Week: February 7, 2022 – February 13, 2022 first appeared on Webdesigner Depot.

Source de l’article sur Webdesignerdepot


The glass morphism effect is popping up all over the web at the minute. Although in the past it was generated mostly with images, we can now achieve the same result using CSS. The CSS glass morphism effect is pretty widely supported as well. Below, I’ve created a generator so you can make your own CSS glass morphism effects and add them to your applications and websites.

CSS Glass Morphism Generator

A little while ago I used the CSS glass morphism effect to create some apple UI elements. To show how this effect works a little better, I’ve created a CSS glass morphism generator below. You can change the options, and generate your own glass morphism along with code.

Source de l’article sur DZONE

Dealing with a database is one of the biggest challenges within a software architecture. In addition to choosing one of several options on the market, it is necessary to consider the persistence integrations. The purpose of this article is to show some of these patterns and learn about a new specification proposal, Jakarta Data, which aims to make life easier for developers with Java.

Understanding the Layers That Can Make Up Software

Whenever we talk about complexity in a corporate system, we focus on the ancient Roman military strategy: divide and conquer or divide et impera. To simplify the whole, we break it down into small units.

Source de l’article sur DZONE

In this article, we will look at the detailed steps to install Alibaba Cloud Container Service for Kubernetes (ACK) cluster. We will cover the Azure DevOps release pipeline and configure service connection to the Kubernetes cluster using temporary kubeconfig. After that, we will expose the application in Alibaba Cloud Kubernetes using Ingress.

High-level steps:

Source de l’article sur DZONE

Have you ever been sent a file and asked to find important information buried within it? Your coworkers would be very impressed if you could query the files in a quick and efficient manner. But… how exactly are you going to achieve such a feat?

As you probably know, SQL allows you to modify database data quickly and easily. When trying to work with data files, developers usually load data into a database and manage it via SQL. In a perfect world, you could just query the database to get the information your company needs. But in real life, there’s a catch: data loading is often not straightforward.

Source de l’article sur DZONE

Zato is an integration platform and backend application server which means that, during most of their projects, developers using Zato are interested in a few specific matters.

The platform concentrates on answering these key, everyday questions that Python backend developers routinely ask:

Source de l’article sur DZONE

In the video below, we take a closer look at the adapter design pattern in Java (Mobile Charger). This tutorial includes an introduction, example, implementation, and more. Let’s get started!

Source de l’article sur DZONE

In this article, we are going to explore all the features provided by mule Email Connector. Email connector helps you to Send, Mark, List, and Delete Emails. We see a simple demo for each of these features now. 

Before starting with developing the Mule Application we need to do some configuration settings in the Gmail account. 

Source de l’article sur DZONE

Ever since the Python programming language was born, its core philosophy has always been to maximize the readability and simplicity of code. In fact, the reach for readability and simplicity is so deep within Python’s root that, if you type import this in a Python console, it will recite a little poem:

    Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. The complex is better than complicated. The flat is better than nested. Sparse is better than dense. Readability counts…

Simple is better than complex. Readability counts. No doubt, Python has indeed been quite successful at achieving these goals: it is by far the most friendly language to learn, and an average Python program is often 5 to 10 times shorter than equivalent C++ code. Unfortunately, there is a catch: Python’s simplicity comes at the cost of reduced performance. In fact, it is almost never surprising for a Python program to be 10 to 100 times slower than its C++ counterpart. It thus appears that there is a perpetual trade-off between speed and simplicity, and no programming language shall ever possess both.
But, don’t you worry, all hope is not lost.

Taichi: Best of Both Worlds

The Taichi Programming Language is an attempt to extend the Python programming language with constructs that enable general-purpose, high-performance computing. It is seamlessly embedded in Python, yet can summon every ounce of computing power in a machine — the multi-core CPU, and more importantly, the GPU.
We’ll show an example program written using taichi. The program uses the GPU to run a real-time physical simulation of a piece of cloth falling onto a sphere and simultaneously renders the result.
Writing a real-time GPU physics simulator is rarely an easy task, but the Taichi source code behind this program is surprisingly simple. The remainder of this article will walk you through the entire implementation, so you can get a taste of the functionalities that taichi provides, and just how powerful and friendly they are.
Before we begin, take a guess of how many lines of code this program consists of. You will find the answer at the end of the article.

Algorithmic Overview

Our program will model the piece of cloth as a mass-spring system. More specifically, we will represent the piece of cloth as an N by N grid of point-masses, where adjacent points are linked by springs. The following image, provided by Matthew Fisher, illustrates this structure:
The motion of this mass-spring system is affected by 4 factors:
  • Gravity
  • Internal forces of the springs
  • Damping
  • Collision with the red ball in the middle
For the simplicity of this blog, we ignore the self-collisions of the cloth. Our program begins at the time t = 0. Then, at each step of the simulation, it advances time by a small constant dt. The program estimates what happens to the system in this small period of time by evaluating the effect of each of the 4 factors above, and updates the position and velocity of each mass point at the end of the timestep. The updated positions of mass points are then used to update the image rendered on the screen.

Getting Started

Although Taichi is a programming language in its own right, it exists in the form of a Python package and can be installed by simply running pip install taichi.
To start using Taichi in a python program, import it under the alias ti:
import taichi as ti
The performance of a Taichi program is maximized if your machine has a CUDA-enabled Nvidia GPU. If this is the case, add the following line of code after the import: ti.init(arch=ti.cuda)

If you don’t have a CUDA GPU, Taichi can still interact with your GPU via other graphics APIs, such as ti.metal, ti.vulkan, and ti.opengl. However, Taichi’s support for these APIs is not as complete as its CUDA support, so, for now, use the CPU backend: ti.init(arch=ti.cpu)And don’t worry, Taichi is blazing fast even if it only runs on the CPU. Having initialized Taichi, we can start declaring the data structures used to describe the mass-spring cloth. We add the following lines of code:

Python

 

 N = 128 x = ti.Vector.field(3, float, (N, N)) v = ti.Vector.field(3, float, (N, N))

Source de l’article sur DZONE