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(ch:intro)=
# Introduction
In this chapter, we do blah.
Specifically
- foo
- bar.
- baz
For more details, see
{ref}`ch:hmm` and {cite}`Sarkka13`.
## What are state space models?
## Python
We\'re now ready to start coding.
```{code-cell}
from matplotlib import rcParams, cycler
import matplotlib.pyplot as plt
import numpy as np
plt.ion()
```
```{code-cell}
# 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']);
```
```{code-cell}
import matplotlib.pyplot as plt
import numpy as np
import jax
import jax.numpy as jnp
print(jax.devices())
```
## Images
```{figure} /images/cat_dog.jpg
:scale: 50%
:name: cat_dog
A photo of a cat and a dog.
```
```{figure} /images/cat_dog.jpg
:scale: 50%
:name: cat_dog2
Another photo of a cat and a dog.
```
In {numref}`Figure %s ` we show catdog.
In {numref}`Figure %s ` we show catdog2, its twin.
## Math
We have $E= mc^2$, and also
```{math}
:label: foo
a x^2 + bx+ c = 0
```
From {eq}`foo`, it follows that
$$
\begin{align}
0 &= a x^2 + bx+ c \\
0 &= a x^2 + bx+ c
\end{align}
$$