*Update: you can have only one py-script block for now. I removed the example one, and just left matplotlib example.*

Pyscrypt has just been released and I feel I had to give it a go straight up from my blog.

The usage seems to be pretty straightforward:

- you drop the link to the
`pyscrip.js`

in the HTML, and then you have the new`<py-script>`

tag where you can write Python. Standard Python.

For example the code below actually gets transformed into a string with the content`Now you can!`

```
<pre>
<link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" />
<script defer src="https://pyscript.net/alpha/pyscript.js"></script>
<div id="target"></div>
<py-script output="target">
from datetime import datetime
now = datetime.now()
print("What time is it?")
print("Computed directly from Python: " + now.strftime("%m/%d/%Y, %H:%M:%S"))
print("Now you can use Python within the browser natively!")
</py-script>
</pre>
```

which produce the following result!

from datetime import datetime now = datetime.now() print("What time is it?") print("Computed directly from Python: " + now.strftime("%m/%d/%Y, %H:%M:%S")) print("Now you can use Python within the browser natively!")

Interestingly, you have the full Python arsenal at your disposal.

This code creates a matplotlib plot:

```
<pre>
<link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css">
<script defer src="https://pyscript.net/alpha/pyscript.js"></script>
<py-config>
packages = ["matplotlib", "numpy"]
</py-config>
<div id="mpl"></div>
<py-script output="mpl">
import matplotlib.pyplot as plt
import matplotlib.tri as tri
import numpy as np
# First create the x and y coordinates of the points.
n_angles = 36
n_radii = 8
min_radius = 0.25
radii = np.linspace(min_radius, 0.95, n_radii)
angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
angles[:, 1::2] += np.pi / n_angles
x = (radii * np.cos(angles)).flatten()
y = (radii * np.sin(angles)).flatten()
z = (np.cos(radii) * np.cos(3 * angles)).flatten()
# Create the Triangulation; no triangles so Delaunay triangulation created.
triang = tri.Triangulation(x, y)
# Mask off unwanted triangles.
triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
y[triang.triangles].mean(axis=1))
< min_radius)
fig1, ax1 = plt.subplots()
ax1.set_aspect('equal')
tpc = ax1.tripcolor(triang, z, shading='flat')
fig1.colorbar(tpc)
ax1.set_title('tripcolor of Delaunay triangulation, flat shading')
fig1
</py-script>
</pre>
```

packages = ["matplotlib", "numpy"] import matplotlib.pyplot as plt import matplotlib.tri as tri import numpy as np # First create the x and y coordinates of the points. n_angles = 36 n_radii = 8 min_radius = 0.25 radii = np.linspace(min_radius, 0.95, n_radii) angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False) angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1) angles[:, 1::2] += np.pi / n_angles x = (radii * np.cos(angles)).flatten() y = (radii * np.sin(angles)).flatten() z = (np.cos(radii) * np.cos(3 * angles)).flatten() # Create the Triangulation; no triangles so Delaunay triangulation created. triang = tri.Triangulation(x, y) # Mask off unwanted triangles. triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1), y[triang.triangles].mean(axis=1)) < min_radius) fig1, ax1 = plt.subplots() ax1.set_aspect('equal') tpc = ax1.tripcolor(triang, z, shading='flat') fig1.colorbar(tpc) ax1.set_title('tripcolor of Delaunay triangulation, flat shading') display(fig1, target="graph-area", append=False)

*Note: If you are trying to use the <py-script></py-script> on wordpress, using a Custom element block, you need to wrap the code with <pre></pre> otherwise wordpress will texturize the text, changing the characters to some more pleasing to the eye. However the HTML is actually executed by the py-script and it will not understand this link.*