import pyodide_kernel

pyodide_kernel.__version__

from IPython.display import Markdown, HTML, JSON, Latex

print("Before display")

s = "<h1>HTML Title</h1>"
display(HTML(s))

print("After display")

Markdown(
    """
# Title

**in bold**

~~Strikthrough~~
"""
)

Latex(
    r"""\begin{eqnarray}
\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\
\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
\nabla \cdot \vec{\mathbf{B}} & = 0 
\end{eqnarray}"""
)

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 10, 1000)
plt.plot(x, np.sin(x))

plt.show()

import pandas as pd
import numpy as np
from string import ascii_uppercase as letters

df = pd.DataFrame(np.random.randint(0, 100, size=(100, len(letters))), columns=list(letters))
df

df

import json
from js import fetch

res = await fetch("https://httpbin.org/get")
text = await res.text()
obj = json.loads(text)
JSON(obj)

from sympy import Integral, sqrt, symbols, init_printing

init_printing()

x = symbols("x")

Integral(sqrt(1 / x), x)