Interactive Coding Essentials Cheatsheet

Interactive Coding Overview

• Interactive Coding: Execute code blocks interactively in Quarto documents.
• Engines Supported: webr (R) and pyodide (Python).
• Key Benefits: Immediate feedback, dynamic visualizations, seamless integration of R and Python.

Learn more in the Introduction to Interactive Coding.

Installing Quarto Live & WebAssembly

Install Quarto Live extension:

quarto add r-wasm/quarto-live

Configure YAML header:

---
format: live-html
---

Detailed instructions in Installing Quarto Live & WebAssembly Engines.

Creating and Managing Interactive Code Blocks

Basic interactive code block example

Source:

R

```{webr}
print("Hello, Interactive World!")
```

Python

```{pyodide}
print("Hello, Interactive World!")
```

Output:

R

Python

Explore further in Interactive Code Blocks Explained.

Useful Cell Options:

Option	Description	Default
autorun	Automatically executes code on page load.	false
edit	Allows editing of code blocks.	true
runbutton	Shows “Run Code” button.	true
completion	Enables autocomplete suggestions.	true
startover	Shows “Start Over” button.	true
persist	Persists user modifications.	false
timelimit	Time limit for code execution (seconds).	30
include	Display code block output and source.	true
min-lines	Minimum visible lines in editor.	0
max-lines	Maximum visible lines in editor.	∞

Example usage:

R

```{webr}
#| autorun: true
#| edit: false
summary(cars)
```

Python

```{pyodide}
#| autorun: true
#| edit: false
import numpy as np
np.mean([1, 2, 3, 4, 5])
```

Environment Management and Variable Sharing

Define global setup code:

Execute code globally before other interactive blocks:

R

```{webr}
#| setup: true
data(iris)
```

Python

```{pyodide}
#| setup: true
import numpy as np
```

Share variables across languages:

Define data from R and consume in Python:

```{webr}
#| define:
#|   - mydata
mydata <- iris
```

```{pyodide}
#| input:
#|   - mydata
import pandas as pd
pd.DataFrame(mydata)
```

Further details in Managing Execution Environments.

Further Reading

• Interactive Code Blocks Explained
• Managing Execution Environments
• Loading and Using Packages

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