Markdown Guide for Blog Authors
This guide explains how to format your blog posts using Markdown, with special focus on code blocks and other advanced features available in our blog platform.
Table of Contents
Basic Formatting
Element | Markdown Syntax |
---|---|
Heading | # H1 ## H2 ### H3 |
Bold | **bold text** |
Italic | *italicized text* |
Blockquote | > blockquote |
Ordered List | 1. First item 2. Second item |
Unordered List | - First item - Second item |
Link | [title](https://www.example.com) |
Image |  |
Code Blocks
Syntax Highlighting
To create a code block with syntax highlighting, use triple backticks (```) followed by the language name:
```javascript
function helloWorld() {
console.log("Hello, world!");
}
```
This will render as:
function helloWorld() {
console.log("Hello, world!");
}
Supported Languages
Our platform supports syntax highlighting for many languages, including:
- javascript (js)
- typescript (ts)
- python (py)
- java
- c
- cpp (c++)
- csharp (c#)
- go
- rust
- ruby
- php
- swift
- kotlin
- html
- css
- json
- yaml
- bash (shell)
- sql
Multiple Language Tabs
To create code blocks with multiple language tabs, use our special syntax with language identifiers:
{:code-block}
{:javascript}
function helloWorld() {
console.log("Hello, world!");
}
{:python}
def hello_world():
print("Hello, world!")
{:java}
public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, world!");
}
}
{:code-block}
This will create a tabbed interface where users can switch between JavaScript, Python, and Java implementations.
Important Notes for Code Blocks
- Make sure there's no space between the backticks and the language name
- For multiple language tabs, ensure each language section starts with
{:language-name}
- Always close multiple language blocks with
{:code-block}
- Indent your code properly for better readability
YouTube Embeds
To embed a YouTube video, use the following syntax:
{youtube:VIDEO_ID}
Replace VIDEO_ID
with the actual YouTube video ID. For example:
{youtube:dQw4w9WgXcQ}
Images
For basic images, use the standard Markdown syntax:

For images with captions or additional styling:
{:image}

Caption: This image was created using a neural network
{:image}
Other Elements
Callouts/Notes
{:note}
This is an important note for readers.
{:note}
Warnings
{:warning}
Be careful when implementing this code in production!
{:warning}
Tips
{:tip}
Here's a pro tip to make your code more efficient.
{:tip}
Example Blog Post
Here's a complete example that demonstrates various formatting options:
# Understanding Neural Networks
## Introduction
Neural networks are the foundation of modern AI. Let's explore how they work.
## Basic Structure
A neural network consists of:
- Input layer
- Hidden layers
- Output layer
## Code Implementation
Here's how to implement a simple neural network in different languages:
{:code-block}
{:python}
import numpy as np
def sigmoid(x):
return 1 / (1 + np.exp(-x))
class NeuralNetwork:
def __init__(self, input_size, hidden_size, output_size):
self.weights1 = np.random.randn(input_size, hidden_size)
self.weights2 = np.random.randn(hidden_size, output_size)
def forward(self, X):
self.hidden = sigmoid(np.dot(X, self.weights1))
self.output = sigmoid(np.dot(self.hidden, self.weights2))
return self.output
{:javascript}
class NeuralNetwork {
constructor(inputSize, hiddenSize, outputSize) {
this.weights1 = Array.from({ length: inputSize }, () =>
Array.from({ length: hiddenSize }, () => Math.random() - 0.5)
);
this.weights2 = Array.from({ length: hiddenSize }, () =>
Array.from({ length: outputSize }, () => Math.random() - 0.5)
);
}
sigmoid(x) {
return 1 / (1 + Math.exp(-x));
}
forward(inputs) {
// Matrix multiplication and activation
this.hidden = inputs.map((_, i) =>
this.sigmoid(this.weights1[i].reduce((sum, w, j) => sum + w * inputs[j], 0))
);
this.output = this.hidden.map((_, i) =>
this.sigmoid(this.weights2[i].reduce((sum, w, j) => sum + w * this.hidden[j], 0))
);
return this.output;
}
}
{:code-block}
{:note}
The above implementations are simplified for educational purposes.
{:note}
## Learn More
Watch this excellent explanation of neural networks:
{youtube:aircAruvnKk}
## Conclusion
Neural networks are powerful tools for machine learning tasks. With proper training, they can solve complex problems in various domains.
Remember, good formatting makes your blog posts more readable and engaging. Use these Markdown features to create professional-looking content that readers will enjoy.