os.platform and os.arch in Node.js - Mini Project: Build & Apply

Using os.platform() and os.arch() in Node.js

📖 Scenario: You are creating a simple Node.js script that detects the operating system platform and CPU architecture of the computer it runs on. This information can help your program adjust its behavior depending on the environment.

🎯 Goal: Build a Node.js script that uses the os module to get the platform and architecture, then stores these values in variables.

📋 What You'll Learn

Import the built-in os module

Create a variable called platform that stores the result of os.platform()

Create a variable called architecture that stores the result of os.arch()

Use only the exact variable names and method calls as specified

💡 Why This Matters

🌍 Real World

Detecting the operating system and CPU architecture helps software adjust behavior, like choosing the right binaries or enabling platform-specific features.

💼 Career

Many Node.js jobs require working with system information for deployment scripts, cross-platform tools, or environment-aware applications.

1

Import the os module

Write a line of code to import the built-in Node.js os module using import os from 'os'.

Node.js

// Your code here

Need a hint?

Use the ES module syntax to import the os module.

2

Create the platform variable

Create a variable called platform and set it to the value returned by os.platform().

Node.js

import os from 'os'

// Your code here

Need a hint?

Call os.platform() and assign it to platform.

3

Create the architecture variable

Create a variable called architecture and set it to the value returned by os.arch().

Node.js

import os from 'os'

const platform = os.platform()

// Your code here

Need a hint?

Call os.arch() and assign it to architecture.

4

Export the variables

Export the variables platform and architecture using export { platform, architecture }.

Node.js

import os from 'os'

const platform = os.platform()
const architecture = os.arch()

// Your code here

Need a hint?

Use named export to share the variables.