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<html>
<head>
<link rel="stylesheet" href="https://pyscript.net/latest/pyscript.css" />
<script defer src="https://pyscript.net/latest/pyscript.js"></script>
<link href="https://cdn.jsdelivr.net/npm/
[email protected]/dist/css/bootstrap.min.css" rel="stylesheet" crossorign="anonymous">
<py-env>
- numpy
- matplotlib
- paths:
- ./data.py
</py-env>
</head>
<body>
<h1>PyScript demo</h1>
<py-script> print('This is pyscript!') </py-script>
<py-script>
print("Lets compute π:")
def wallis(n):
pi = 2
for i in range(1,n):
pi *= 4 * i ** 2 / (4 * i ** 2 - 1)
return pi
pi = wallis(100000)
s = f"π is approximately: {pi:.3f}"
print(s)
</py-script>
<b><p>Today is <u><label id="today"></label></u></p></b>
<div id="pi" class="alert alert-primary"></div>
<py-script>
import datetime as dt
pyscript.write('today', dt.date.today().strftime('%A %B %d, %Y'))
pyscript.write('pi', f"π is approximately: {pi:.3f}")
</py-script>
<h1>Let's plot random numbers</h1>
<div id="plot"></div>
<py-script output="plot">
import matplotlib.pyplot as plt
from data import make_x_and_y
x, y = make_x_and_y(n=1000)
fig, ax = plt.subplots()
ax.scatter(x, y)
fig
</py-script>
<h1><b>PyScript REPL</b></h1>
Tip: press Shift-ENTER to evaluate a cell
<br>
<div>
<py-repl id="my-repl" auto-generate="true"></py-repl>
</div>
</body>
</html>
import numpy as np
def make_x_and_y(n):
x = np.random.randn(n)
y = np.random.randn(n)
return x, y
