Notebook example

example of python notebook

Before you start

You can choose to render a document in multiple formats (see </> Code on the top right).

For instance, this file is rendered both in html and ipynb.

So now, you can download your file notebook.ipynb and then load it on Jupyter.

Python cells

A python cell that will not be executed

import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm

x = np.linspace(-3, 3, 1000)

pdf = norm.pdf(x, 0, 1)
plt.plot(x, pdf, label='Normal Distribution')
plt.show()

A python cell to be executed if eval: true

import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm

x = np.linspace(-3, 3, 1000)

pdf = norm.pdf(x, 0, 1)
plt.plot(x, pdf, label='Normal Distribution')
plt.show()

---
title: "Notebook example"
description: example of python notebook
format:
  html:
    toc: true
    toc-location: left
    toc-expand: 3
    code-tools: true
  ipynb: 
    output-file: notebook.ipynb
jupyter: python3
execute:
  eval: true
from: markdown+emoji
---


## Before you start

You can choose to render a document in multiple formats (see `</> Code` on the top right).

For instance, this file is rendered both in *html* and *ipynb*.

So now, you can download your file [notebook.ipynb](notebook.ipynb){target="_blank"} and  then load it on Jupyter.


## Python cells

### A python cell that will not be executed

```{.python}
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm

x = np.linspace(-3, 3, 1000)

pdf = norm.pdf(x, 0, 1)
plt.plot(x, pdf, label='Normal Distribution')
plt.show()
```


### A python cell to be executed if eval: true

```{python}
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm

x = np.linspace(-3, 3, 1000)

pdf = norm.pdf(x, 0, 1)
plt.plot(x, pdf, label='Normal Distribution')
plt.show()
```