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(ch:intro)=
In this chapter, we do blah. Specifically
For more details, see
{ref}ch:hmm
and {cite}Sarkka13
.
We\'re now ready to start coding.
from matplotlib import rcParams, cycler
import matplotlib.pyplot as plt
import numpy as np
plt.ion()
# 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']);
import matplotlib.pyplot as plt
import numpy as np
import jax
import jax.numpy as jnp
print(jax.devices())
```{figure} /figures/cat_dog.jpg :scale: 50% :name: cat_dog
A photo of a cat and a dog.
```{figure} /figures/cat_dog.jpg
:height: 300px
:name: cat_dog2
Another photo of a cat and a dog.
In {numref}cat_dog
we show catdog.
In {numref}Figure %s <cat_dog2>
we show catdog2, its twin.
I am a useful note!
Here is $\N=10$ and blah. $\floor{42.3}= 42$. Let's try again.
We have $E= mc^2$, and also
:label: foo
a x^2 + bx+ c = 0
From {eq}foo
, it follows that
$$ \begin{align} 0 &= a x^2 + bx+ c \ 0 &= a x^2 + bx+ c \end{align} $$