#!/usr/bin/env python
# coding: utf-8

# # Python kernel backed by Pyodide
# 
# ![](https://raw.githubusercontent.com/pyodide/pyodide/master/docs/_static/img/pyodide-logo.png)

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import pyodide_kernel

pyodide_kernel.__version__


# ## Display

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


# ## HTML

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print("Before display")

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

print("After display")


# ## Markdown

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Markdown(
    """
# Title

**in bold**

~~Strikthrough~~
"""
)


# ## Latex

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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}"""
)


# # Matplotlib
# 
# Basic static plotting (temp patch)

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import numpy as np
import matplotlib.pyplot as plt

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

plt.show()


# ## Pandas DataFrame

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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


# ### Show the same DataFrame

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df


# ## Network requests and JSON

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import json
from js import fetch


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


# ## Sympy

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from sympy import Integral, sqrt, symbols, init_printing

init_printing()

x = symbols("x")

Integral(sqrt(1 / x), x)


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