Articles


Agile 

AI

Big Data

Cloud

Database

DevOps

Integration

  • Mulesoft 4: Continuous Delivery/Deployment With Maven by Ashok S — This article is a great example of what we want every tutorial to look like on DZone. The main aim of this article is to provide a standard mechanism to release project artifacts and deploy to Anypoint Platform, from the local machine or configure in continuous delivery pipelines.
  • Integration With Social Media Platforms Series (Part 1) by Sravan Lingam — This article helps you to build a RESTful API through MuleSoft that integrates with LinkedIn and shares a post on behalf of one’s personal account. I like this article because, in the age of social media, it’s so important for businesses to be connected and integrated!

IoT

Java

Microservices

Open Source

Performance

  • What Is Big O Notation? by Huyen Pham — Aside from a silly name, this article is an example of an in-depth analysis on a little-spoken-about concept. In this article, take a look at a short guide to get to know Big O Notation and its usages.
  • Is Python the Future of Programming? by Shormisthsa Chatterjee — Where is programming going? This article attempts to answer this question in a well-rounded way. The author writes, "Python will be the language of the future. Testers will have to upgrade their skills and learn these languages to tame the AI and ML tools".

Security

Web Dev

  • A Better Way to Learn Python by Manas Dash: There’s so many resources available for learning Python — so many that it’s difficult to find a good and flexible place to start. Check out Manas’ curated list of courses, articles, projects, etc. to get your Python journey started today. 
  • Discovering Rust by Joaquin Caro: I’m a sucker for good Rust content, as there’s still so many gaps in what’s available. Joaquin does a great job of giving readers his perspective of the language’s features in a way that traditional docs just 

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.

UX Design for Navigation Menus

 

How to Choose UI Colors for Mobile and Web Design Wisely

 

A Step-By-Step Guide to Create your own WordPress Theme

 

HTML5 Canvas Cheat Sheet [PDF]

 

Beyond Media Queries: Using Newer HTML & CSS Features for Responsive Designs

 

The Power of not Messing Around

 

Tailwind Ink: AI Color Palette Generator for Tailwindcss

 

Resumey.Pro – Save Time and Effort on Designing your Resume Using Markdown

 

The Ultimate List of YouTube Channels to Boost your Web Dev’t and Programming Skills

 

10 Google Font Combinations for Inspiration

 

Everything You Need to Know About WordPress 5.5

 

How to Create Stronger Layouts with the 8pt Grid

 

TEDx Talk: Good UX is a Problem

 

All the Ways to Make a Web Component

 

Landing Page 101: How to Design a Landing Page that Converts

 

30 Free HTML and CSS Book Effects and UI Design

 

A Guide to Design System Models

 

15 Designer Curated Color Palettes to Inspire your Next Project

 

My Thoughts About Editors in 2020

 

The Napoleon Technique: Postponing Things to Increase Productivity

 

Announcing TypeScript 4.0

 

Un-Cancelling 2020: Virtual Conferences for Designers

 

How to Manage Stress as a Developer

 

Explaining UX Design to a 5-year-old

 

How to Win Over Skeptics with Qualitative Research

 

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

Source


Source de l’article sur Webdesignerdepot

Artificial intelligence which gives machines the ability to think and behave like humans are gaining traction since the last decade. These features of artificial intelligence are only there because of its ability to predict certain things accurately, these predictions are based upon one certain technology which we know as machine learning (ML). Machine learning as the name suggests is the computer’s ability to learn new things and improve its functionality over time. The main focus of machine learning is on the development of computer programs that are capable of accessing data and using it to learn for themselves. 

To implement machine learning algorithms, two programming languages, R and Python for machine learning are normally used. Generally, selecting features for training data on machine learning in python is a very complex and technical process. But here we will go over some basic techniques and details regarding what is machine learning and how it works. So, let us start by going into detail regarding what ML is, what feature selection is and how can one select feature using python.

Source de l’article sur DZONE

Loops in a programming language is a piece of code that get executed repeatedly until the specified condition becomes false. A loop consists of two parts, a block of statements and a condition that control the loop.

Loops mainly consisted of three statements – initialization condition, test condition, update condition.

Source de l’article sur DZONE

A friend shared this youtube video on the Art of Code where FizzBuzz was demonstrated on SonicPi and also at end of the video (I won’t spoil it for you). After watching it, I was highly inspired to also implement it on Mule, because why not? I even searched the web to see if anyone had already done a FizzBuzz loop on Mule. The fact that I then did it last night kinda tells you that the answer was no.

It turns out that I also learned a thing or two implementing FizzBuzz on Mule 4. FizzBuzz is one of the ways loops are introduced when learning a programming language. Even the recent Golang course I took also introduces loops using FizzBuzz. For the uninitiated, FizzBuzz is derived from a children’s game, the problem statement for a FizzBuzz program is pretty straightforward. This is the same one you can find at HackerRank.

Source de l’article sur DZONE

In 2019, the market revenue of IoT reached $ 212 billion. There are about 26.66 billion connected IoT devices worldwide, and this number is to reach 75.44 billion by 2025. The UN estimates that, in May 2020, the world population is 7.78 billion people. A simple math operation tells us that an average person owns from 3 to 4 IoT devices. Do you have one? Maybe a smartwatch? A smart TV? Or a smart car?

Moving further, the population is expected to reach 8.1 billion people in 2025. The same math calculation shows us that, in 2025, an average person will have from 9 to 10 smart devices in their possession. Do you see where I am leading you to? Do you want to join this prosperous market niche and make your IoT device to be one of these 9 to 10?

Source de l’article sur DZONE


Introduction

Java was released on the 23rd of January 1996 and has celebrated its 24th anniversary in 2020. It has constantly been ranked in the first position according to the TIOBE index. In its 24 year journey, Java has proved itself to be the top general-purpose programming language for custom software development and 1,34,861 websites, like ESPN, SnapDeal, Alibaba, etc., use Java as their primary language. 

In the pie chart given below, you can see the usage of the Java language in various industries.

Source de l’article sur DZONE

If you have been following beginner or even intermediate guides on Python and are starting to feel the need for more advanced learning; this book may be the one you have been looking for.

According to the authors, this book was written for those who already know the basics of Python but want to deepen their knowledge and skills. While being targeted to people who already know the fundamentals of Python, it still includes a quick review in the first chapter. It briefly discusses fundamentals like variables, operators, data types, basic I/O, if/elsewhilefor, function definitions and arguments, lists, tuples, dictionaries, sets, and the distinction between global and local variables. This initial chapter is presented as being an optional reading, as its contents are pretty basic, but the authors recommend that the reader takes a minute or so on the last to pages, which cover the global statement.

Source de l’article sur DZONE