MOTOSHARE 🚗🏍️
Turning Idle Vehicles into Shared Rides & Earnings

From Idle to Income. From Parked to Purpose.
Earn by Sharing, Ride by Renting.
Where Owners Earn, Riders Move.
Owners Earn. Riders Move. Motoshare Connects.

With Motoshare, every parked vehicle finds a purpose. Owners earn. Renters ride.
🚀 Everyone wins.

Start Your Journey with Motoshare

How to use various types of comments

In Visual Studio Code (VS Code), you can use various types of comments that are applicable across different programming languages. Here are some common types of comments:

Single-Line Comments:

1. Double Forward Slash (//):

// This is a single-line comment in JavaScript

2. Hash (#):

This is a single-line comment in Python

3. Semicolon (;):

<!-- This is a single-line comment in HTML -->

Multi-Line Comments:

1. Slash Asterisk (/ /):

/*
 * This is a multi-line comment in CSS
 * It can span multiple lines
 */

2. Triple Double Quotes (”’ ”’):

”’
This is a multi-line comment in Python
It can span multiple lines
”’

Documentation Comments:

1. JSDoc (JavaScript):

/**
 * This is a JSDoc comment in JavaScript
 * @param {string} name - The name to greet
 * @returns {string} - The greeting
 */
function greet(name) {
    return `Hello, ${name}!`;
}

2. JavaDoc (Java):

/**
 * This is a JavaDoc comment in Java
 * @param name The name to greet
 * @return The greeting
 */
public String greet(String name) {
    return "Hello, " + name + "!";
}

Task Comments:

1. TODO:

# TODO: Implement error handling

2. FIXME:

// FIXME: Update this logic for edge cases

3. HACK:

// HACK: Temporary workaround, improve later

These comments serve different purposes, from providing explanations and documentation to marking tasks for future attention. Utilize them based on your needs and coding conventions. VS Code will recognize and highlight different comment styles in various languages, making it easier for you to navigate and understand your code.

Related Posts

DataOps Practices: A Comprehensive Guide for Modern Data Teams

Introduction: Problem, Context & Outcome Data teams often struggle with slow pipelines, inconsistent data quality, and fragile analytics workflows. Engineers manually move data across systems, analysts wait…

Datadog Observability: A Comprehensive Guide for DevOps Teams

Introduction: Problem, Context & Outcome Modern engineering teams struggle with poor system visibility across infrastructure, applications, and cloud services. Logs remain scattered, metrics lack context, and alerts…

Datadog Monitoring: A Comprehensive Guide for DevOps —Pune

Introduction: Problem, Context & Outcome Engineering teams struggle daily with limited visibility across applications, infrastructure, and cloud services. Logs remain scattered, metrics feel disconnected, and alerts often…

Chef Configuration Management: A Comprehensive Guide —Pune

Introduction: Problem, Context & Outcome Infrastructure teams often struggle with configuration drift, manual server setups, and inconsistent environments. Engineers repeatedly fix the same issues because systems behave…

Chef Configuration Management: A Comprehensive Guide —Bangalore

Introduction: Problem, Context & Outcome Infrastructure teams still struggle with configuration drift, inconsistent environments, and deployment failures. Engineers often configure systems manually, which introduces errors and delays…

Amazon AWS Experts: A Comprehensive Guide to Skills —Pune

Introduction: Problem, Context & Outcome Cloud adoption continues to accelerate, yet many engineers struggle to move from theory to real-world AWS implementation. Teams often deploy workloads on…

0 0 votes
Article Rating
Subscribe
Notify of
guest
1 Comment
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
trackback

[…] How to use various types of comments […]

1
0
Would love your thoughts, please comment.x
()
x