Markdown for Jupyter

This guide covers the most useful Markdown commands to make your Jupyter notebooks clear and structured. You can also jump to the summary cheat sheet.

Headings

Use # for titles and section headers.

# Heading 1
## Heading 2
### Heading 3
#### Heading 4

Output:

Heading 1

Heading 2

Heading 3

Heading 4

Text Formatting

Style	Markdown	Output
Italic	`text` or `_text_`	text
Bold	`text` or `__text__`	text
*Bold + Italic*	`*text*`	*text*
`Inline code`	`code`	`code`
~~Strikethrough~~	`~~text~~`	~~text~~

Links and Images

Link:

[Data Science Course](https://elste-master.github.io/Data-Science)

Image:

![Python logo](https://www.python.org/static/community_logos/python-logo.png)

Lists

Unordered list:

- Item 1
- Item 2
  - Subitem 2.1

Output:

Item 1
Item 2
- Subitem 2.1

Ordered list:

1. Step one
2. Step two
   1. Substep

Output:

Step one
Step two
1. Substep

Blockquotes

> This is a quote.

Output:

This is a quote.

Code Blocks

For multi-line code with syntax highlighting:

```python
def greet(name):
    print(f"Hello, {name}!")
```

Output:

def greet(name):
    print(f"Hello, {name}!")

Mathematical Equations (LaTeX)

Jupyter supports LaTeX syntax for math.

Inline math:

$ E = mc^2 $

Output:

\[ E = mc^2\ \]

Display math:

$$
\int_a^b f(x)\,dx = F(b) - F(a)
$$

Output:

\[ \int_a^b f(x)\,dx = F(b) - F(a) \]

Subscript and Superscript (LaTeX)

Use LaTeX math mode for clean subscripts and superscripts.

- Subscript: $H_2O$
- Superscript: $x^2$
- Combined: $x_i^2$

Output:

Subscript: $ H_2O $
Superscript: $ x^2 $
Combined: $ x_i^2 $

Tables

| Name  | Age | Country |
|-------|-----|----------|
| Alice | 25  | USA      |
| Bob   | 30  | UK       |

Output:

Name	Age	Country
Alice	25	USA
Bob	30	UK

Horizontal Line

---

Output:

Task Lists

- [x] Write summary
- [ ] Add images
- [ ] Review notebook

Output:

Write summary
Add images
Review notebook

Quick Reference Table

Feature	Markdown Syntax	Example
Heading	`#`, `##`, `###`	`## Title`
Bold	`text`	text
Italic	`text`	text
Code	`code`	`print()`
Code block	```python ... ```	multi-line code
List	`-` or `1.`	bullet or numbered list
Link	`[title](url)`	Data Science Course
Image	`![alt](url)`	image
Math	$...$ or `$$...$$`	formulas
Subscript/Superscript	`$H_2O$, $x^2$`	( H_2O ), ( x^2 )
Table	`\| col \| col \|`	formatted table
Quote	`>`	blockquote
Line	`---`	horizontal line