Interactive Python Quick Reference Cheatsheet

Python Interactive Environment Setup

Quarto Live Installation

Install the Quarto Live extension:

quarto add r-wasm/quarto-live

Configure YAML header for interactive Python:

---
format: live-html
---

Detailed guide: Installing Quarto Live & WebAssembly Engines

Basic Interactive Python Scripting

Simple Interactive Code Block

Source

```{pyodide}
#| autorun: true
print("Hello, Interactive Python!")
```

Output

Python Cell Options Quick Reference

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

Detailed tutorial: Interactive Code Blocks Explained

Python Plotting Basics (Matplotlib, Plotly, Seaborn)

Matplotlib Example

Source

```{pyodide}
import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 100)
y = np.sin(x)

plt.plot(x, y)
plt.title("Interactive Matplotlib Plot")
plt.show()
```

Output

Plotly Example

Source

```{pyodide}
import plotly.express as px
import pandas as pd

# Sample data
df = pd.DataFrame({
    'x': [1, 2, 3, 4, 5],
    'y': [10, 20, 15, 25, 30]
})

fig = px.line(df, x='x', y='y', title='Interactive Plotly Line Plot')
fig.show()
```

Output

Seaborn Example

Source

```{pyodide}
import seaborn as sns
import matplotlib.pyplot as plt

# Load dataset
df = sns.load_dataset("iris")

sns.scatterplot(data=df, x="sepal_length", y="sepal_width", hue="species")
plt.title("Interactive Seaborn Plot")
plt.show()
```

Output

Using Pyodide Effectively

Loading Packages

Include Python packages in the document YAML:

---
format: live-html
pyodide:
  packages:
    - numpy
    - matplotlib
    - seaborn
---

Access Data From Other Cells

Define data in an OJS variable and import it:

```{pyodide}
#| define:
#|   - dataset

import seaborn as sns
dataset = sns.load_dataset("iris").to_dict()
```

```{pyodide}
#| input:
#|   - dataset

import pandas as pd
df = pd.DataFrame(dataset)
df.head()
```

Advanced Pyodide Cell Options

• Persistence:

  #| persist: true

  (Saves user edits locally)

• Immediate Execution:

  #| runbutton: false

  (Executes code immediately as it’s typed)

Detailed tutorial: Managing Execution Environments

Further Reading

• Interactive Python for Beginners: Your First Script
• Interactive Python Course: Step-by-Step Lessons
• Integrating Shinylive with Python

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