notebooks.Rmd

---
jupyter:
  jupytext:
    notebook_metadata_filter: all,-language_info
    split_at_heading: true
    text_representation:
      extension: .Rmd
      format_name: rmarkdown
      format_version: '1.2'
      jupytext_version: 1.15.2
  kernelspec:
    display_name: Python 3 (ipykernel)
    language: python
    name: python3
  widgets:
    application/vnd.jupyter.widget-state+json:
      state: {}
      version_major: 2
      version_minor: 0
---

<!-- #region -->
# Content with notebooks

You can also create content with Jupyter Notebooks. This means that you can include
code blocks and their outputs in your book.

## Markdown + notebooks

As it is markdown, you can embed images, HTML, etc into your posts!

![](https://myst-parser.readthedocs.io/en/latest/_static/logo-wide.svg)

You can also $add_{math}$ and

$$
math^{blocks}
$$

or

$$
\begin{aligned}
\mbox{mean} la_{tex} \\ \\
math blocks
\end{aligned}
$$

But make sure you \$Escape \$your \$dollar signs \$you want to keep!

## MyST markdown

MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check
out [the MyST guide in Jupyter Book](https://jupyterbook.org/content/myst.html),
or see [the MyST markdown documentation](https://myst-parser.readthedocs.io/en/latest/).

## Code blocks and outputs

Jupyter Book will also embed your code blocks and output in your book.
For example, here's some sample Matplotlib code:
<!-- #endregion -->

```{python}
from matplotlib import rcParams, cycler
import matplotlib.pyplot as plt
import numpy as np
plt.ion()
```

```{python}
# Fixing random state for reproducibility
np.random.seed(19680801)

N = 10
data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]
data = np.array(data).T
cmap = plt.cm.coolwarm
rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))


from matplotlib.lines import Line2D
custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),
                Line2D([0], [0], color=cmap(.5), lw=4),
                Line2D([0], [0], color=cmap(1.), lw=4)]

fig, ax = plt.subplots(figsize=(10, 5))
lines = ax.plot(data)
ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);
```

There is a lot more that you can do with outputs (such as including interactive outputs)
with your book. For more information about this, see [the Jupyter Book documentation](https://jupyterbook.org)

## Code from your project tree


We have set up your project tree so that you can `import` code you've written in `.py` files, and use it.

```{python}
from projtools import projcode
```

```{python}
projcode.my_func(5, 3)
```