Here’s some inline math:
\(e^{i\pi} + 1 = 0\)
And display math:
\[ p(y \mid x) = \frac{p(x \mid y)p(y)}{p(x)} \]
Python
import numpy as np
rng = np.random.default_rng(42) x = rng.normal(size=1000)
x.mean(), x.std()
## Plot
```{python}
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.hist(x, bins=30)
ax.set_title("Normally distributed things")
plt.show()