---
title: "STAT 540 hw (which homework)"
author: "(your name)"
format: html
jupyter: python3
execute:
  echo: true
---

## Quarto

Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see <https://quarto.org>.

## Before you start

This course assumes you have installed **Anaconda**, which comes with Python, Jupyter, NumPy, pandas and matplotlib --- everything this template needs.

If a render fails complaining that Jupyter or a kernel cannot be found, open the **Anaconda Prompt** (Windows) or a terminal (Mac) and run:

```
quarto check jupyter
```

Render from that same prompt/terminal, or launch your editor from it, so that Quarto finds the Anaconda Python rather than some other one on your machine.

## Submitting your homework

Compile your homework as a webpage (html). Then open it in a browser and print it to a .pdf file.  Upload this pdf file to blackboard.

## Running code

When you click the **Render** button a document will be generated that includes both content and the output of embedded code. You can embed code like this:

```{python}
1 + 1
```

You can add options to executable code like this

```{python}
#| echo: false
2 * 2
```

The `echo: false` option disables the printing of code (only output is displayed).

## Loading libraries

Unlike R, Python needs libraries imported before you can use them. Put your imports in one chunk near the top:

```{python}
import numpy as np
```

## Showing more than one result

Only the **last** expression in a chunk is displayed automatically. Use `print()` if you want to see several results from the same chunk:

```{python}
x = np.array([1, 2, 3])
print(x.mean())
print(x.sum())
```