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minified js and local modules
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@@ -7,17 +7,22 @@ This page will guide you through getting started with PyScript.
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PyScript does not require any development environment other
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than a web browser. We recommend using Chrome.
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If, you're using [VSCode](https://code.visualstudio.com/) the
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[Live Server extension](https://marketplace.visualstudio.com/items?itemName=ritwickdey.LiveServer)
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can be used to reload the page as you edit the HTML file.
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## Installation
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First, go to https://pyscript.net and download the PyScript assets.
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Unzip the archive to a directory where you wish to write PyScript-enabled
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HTML files. You should then have three files in your directory.
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HTML files. You should then have four files in your directory.
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```
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├── ./
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│ ├── pyscript.css
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│ ├── pyscript.js
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│ └── pyscript.js.map
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│ ├── pyscript.min.js
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```
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## Your first PyScript HTML file
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@@ -34,7 +39,7 @@ open an HTML by double clicking it in your file explorer.
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<html>
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<head>
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<link rel="stylesheet" href="pyscript.css" />
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<script defer src="pyscript.js"></script>
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<script defer src="pyscript.min.js"></script>
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</head>
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<body> <py-script> print('Hello, World!') </py-script> </body>
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</html>
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@@ -54,7 +59,7 @@ example we can compute π.
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<html>
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<head>
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<link rel="stylesheet" href="pyscript.css" />
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<script defer src="pyscript.js"></script>
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<script defer src="pyscript.min.js"></script>
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</head>
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<body>
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<py-script>
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@@ -86,7 +91,7 @@ the `<py-script>` tag write to.
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<html>
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<head>
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<link rel="stylesheet" href="pyscript.css" />
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<script defer src="pyscript.js"></script>
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<script defer src="pyscript.min.js"></script>
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css" rel="stylesheet" crossorigin="anonymous">
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</head>
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@@ -126,7 +131,7 @@ as a shortcut, which takes the expression on the last line of the script and run
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<html>
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<head>
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<link rel="stylesheet" href="pyscript.css" />
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<script defer src="pyscript.js"></script>
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<script defer src="pyscript.min.js"></script>
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<py-env>
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- numpy
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- matplotlib
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@@ -143,6 +148,55 @@ import numpy as np
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x = np.random.randn(1000)
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y = np.random.randn(1000)
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fig, ax = plt.subplots()
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ax.scatter(x, y)
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fig
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</py-script>
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</body>
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</html>
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```
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### Local modules
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In addition to packages you can declare local Python modules that will
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be imported in the `<py-script>` tag. For example we can place the random
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number generation steps in a function in the file `data.py`.
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```python
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# data.py
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import numpy as np
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def make_x_and_y(n):
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x = np.random.randn(n)
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y = np.random.randn(n)
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return x, y
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```
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In the HTML tag `<py-env>` paths to local modules are provided in the
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`paths:` key.
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```html
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<html>
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<head>
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<link rel="stylesheet" href="pyscript.css" />
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<script defer src="pyscript.min.js"></script>
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<py-env>
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- numpy
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- matplotlib
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- paths:
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- /data.py
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</py-env>
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</head>
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<body>
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<h1>Let's plot random numbers</h1>
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<div id="plot"></div>
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<py-script output="plot">
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import matplotlib.pyplot as plt
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from data import make_x_and_y
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x, y = make_x_and_y(n=1000)
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fig, ax = plt.subplots()
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ax.scatter(x, y)
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fig
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