Node.js is a JavaScript runtime built on Chrome’s V8 JavaScript engine, and npm (Node Package Manager) is the package manager for Node.js. Here’s how to install them on various operating systems:

For Windows

Method 1: Using the Official Installer

1. Download the installer:

• Go to Node.js official website

• Download the LTS (Long Term Support) version (recommended for most users)

2. Run the installer:

• Double-click the downloaded .msi file
• Follow the installation wizard (you can accept all defaults)

3. Verify installation:

• Open Command Prompt (cmd)
• Type

node -v
npm -v

• This should display the installed versions

Method 2: Using Chocolatey (Package Manager)

1. Install Chocolatey (if you don’t have it):

   @"%SystemRoot%\System32\WindowsPowerShell\v1.0\powershell.exe" -NoProfile -InputFormat None -ExecutionPolicy Bypass -Command "iex ((New-Object System.Net.WebClient).DownloadString('https://chocolatey.org/install.ps1'))" && SET "PATH=%PATH%;%ALLUSERSPROFILE%\chocolatey\bin"

2. Install Node.js:

   choco install nodejs

For macOS

Method 1: Using Official Installer

1. Download the installer from Node.js website
2. Run the installer and follow the prompts
3. Verify installation in Terminal:

   node -v
   npm -v

Method 2: Using Homebrew

1. Install Homebrew (if you don’t have it):

   /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

2. Install Node.js:

   brew install node

For Linux (Ubuntu/Debian)

Method 1: Using NodeSource PPA (Recommended)

1. Install curl (if not already installed):

   sudo apt-get install curl

2. Add NodeSource repository:

   curl -fsSL https://deb.nodesource.com/setup_lts.x | sudo -E bash -

(Replace lts with the version number you want if needed)

3. Install Node.js and npm:

   sudo apt-get install -y nodejs

4. Verify installation:

   node -v
   npm -v

Method 2: Using Package Manager

sudo apt update
sudo apt install nodejs npm

Post-Installation Steps (All OS)

1. Update npm (optional but recommended):

   npm install -g npm@latest

2. Check for global npm permissions:

• If you get permission errors, you might need to:
  • Reinstall with a version manager (like nvm)
  • Change npm’s default directory
  • Use sudo (not recommended for security reasons)

Optional: Install Using Node Version Manager (nvm)

nvm allows you to install and switch between multiple Node.js versions:

1. Install nvm:

• Linux/macOS:
  curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.1/install.sh | bash
• Windows: Use nvm-windows

1. Install Node.js:

   nvm install --lts

3. Use a specific version:

   nvm use 14.17.0

That’s it! You now have Node.js and npm installed on your system. You can start creating Node.js applications or install packages using npm.

The post How to Install Node.js and npm (Step-by-Step Guide) appeared first on Artificial Intelligence.

Composer is a dependency manager for PHP applications. It allows you to install, update, and manage third-party libraries for your Laravel project. Laravel uses Composer to manage its own dependencies, as well as the dependencies of any packages you install.

To install Composer on Windows, you can follow these steps:

1. Go to https://getcomposer.org/download/ in your web browser.

2. Download the Composer-Setup.exe file by clicking on the “Windows Installer” option.

3. Once the file is downloaded, double-click on it to run the installer.

4. The installer will guide you through the setup process. You can leave the default settings as they are or customize them as per your preference.

5. When you reach the “Installation Options” screen, make sure the “Add Composer to PATH” option is checked. This will allow you to use Composer from any directory in the Command Prompt.

6. Continue with the installation by following the remaining on-screen instructions.

7. After the installation finishes, open a new Command Prompt window (or restart it if it was already open).

8. To verify if Composer is installed properly, type “composer” in the Command Prompt and press Enter. It should display the Composer version and a list of available commands.

That’s it! Composer is now installed on your Windows system, and you can start using it for managing your PHP dependencies.

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Ahead of Microsoft’s Ignite conference next month, the tech goliath has announced Dapr, now available as an Alpha preview, a runtime to simplify developing microservices.

Dapr is not a replacement for other runtimes or frameworks such as .NET or Java. Rather, it “injects a side-car container/process to each compute unit”, according to the docs, exposing APIs that are useful for microservices.

Dapr itself is written in Go. It is not dependent on K8s and could run in other environments, though the Windows giant does have K8s in mind with this project.

The Dapr APIs are called over HTTP or gRPC and cover:

• Service invocation
• State management, with key/value pairs stored in s databases, with CosmosDB and Redis in the initial implementation
• Publish and subscribe messaging between services
• Send and receive events to/from external resources
• Virtual actors, an implementation of the actor design pattern
• Distributed tracing for monitoring and fault diagnosis

The Dapr project also includes SDKs for Go, Java, JavaScript, .NET and Python, so that developers do not have to work directly with the http/gRPC API. There is a ton of detail and sample projects on GitHub.

The Dapr post accompanies two other K8s-related announcements, these being the Open Application Model (OAM) specification and Rudr, an initial implementation. All are open source.

Microsoft Azure CTO Mark Russinovich has promised to speak at Ignite on OAM, Rudr and Dapr.

There are two things we can conclude from this. One is that the company is keen to improve its K8s products and make it easier for developers – as is seemingly every other cloud vendor. The other is that Microsoft wants to put its own stamp on developing for K8s, rather than allow Google or others to control the conversation.

The post Are you a Dapr Dan? Microsoft teases runtime for Kubernetes to make microservices sparkle appeared first on Artificial Intelligence.

In May, Microsoft released the Robot Operating System for Windows 10 IoT Enterprise. In the same month, the tech giant also introduced IoT Plug and Play as part of its new intelligent edge offerings. More recently, a cross-Azure IoT collaboration with IoT Messaging was unveiled to simplify location and spatial intelligence usage.

Today, during a keynote at CEATEC Japan, Microsoft’s Partner Director of Program Management for Intelligent Edge Operating Systems Ian LeGrow explained the firm’s plans regarding the Windows for IoT environment. Essentially, LeGrow unveiled new offerings for customers, including a new solution from Smart Tower, Windows ML container, SQL Server IoT 2019, along with more intelligent edge capabilities and hardware options.

As far as hardware is concerned, general availability has been announced for Windows 10 IoT Core Board Support Packages (BSP) for the NXP i.MX family of processors. These include the i.MX6, i.MX7, i.MX 8M and i.MX 8M Mini application processor families. Through this move, Microsoft is aiming to provide a wider variety of industrial-grade silicon choices for IoT project engineers which enable them to better utilize the Azure IoT platform.

Furthermore, the aforementioned new solution from Smart Tower combines the power of Windows 10 IoT Core, NXP, and Azure IOT. Choosing the Windows IoT platform for this helped Microsoft reduce development costs and marketing time. Essentially, the solution focuses on the improvement of reliability for public infrastructure such as cell towers, offering advantages such as reduction in downtime. The Azure IOT Hub has also been leveraged for better management and connection of devices across the whole network.

Moving on, LeGrow also highlighted support for Azure IoT Edge on Windows 10 IoT Enterprise and Windows Server IoT 2019, something which was announced earlier this year. Through seamless integration with IoT Edge runtime, advanced artificial intelligence and machine learning algorithms can be moved to edge devices from the cloud.

With regards to machine learning, the new Windows ML container is now also available as an insider preview. Arriving at an on-disk size of a mere 350 MB, the GPU-enabled inferencing container is aimed at providing businesses an efficient platform to develop enterprise-grade IoT solutions. The new container is designed to address AI-inferencing workloads built using the Windows ML API.

And finally, Microsoft has unveiled SQL Server IoT 2019, dubbed the “binary equivalent to SQL Server 2019”. It will be licensed through the OEM channel, and combine with Windows Server IoT 2019 to offer a database platform that focuses on mission-critical data analytics. Although an exact date for its release has not been specified, it will still be available in some capacity before the end of the year.

With the flurry of announcements made at CEATEC today, it certainly looks like Microsoft is granting plenty of attention towards the future of Windows for IoT. If you’re attending the event this week, you can visit Microsoft’s A012 booth to check out the aforementioned solutions firsthand.

The post Microsoft announces SQL Server IoT 2019, Windows ML container, and more for IoT appeared first on Artificial Intelligence.