chore(templates): update modules to latest commits

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Splitter
2025-11-30 08:55:00 +00:00
parent 664135b288
commit a6a2fe83bd
18 changed files with 409 additions and 30 deletions

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{
"cells": [
{
"cell_type": "markdown",
"id": "2f21e4c5",
"metadata": {},
"source": [
"# Ship Notebook Stories in Minutes\n",
"Hugo Blox Notebook renderer turns your `.ipynb` experiments into beautiful long-form posts.\n",
"Use this sample to see how markdown, code, and outputs flow together."
]
},
{
"cell_type": "markdown",
"id": "3078072c",
"metadata": {},
"source": [
"1. Drop notebooks inside `assets/notebooks/` (or import them as page resources).\n",
"2. Reference them with `{{</* notebook src=\"your.ipynb\" */>}}`.\n",
"3. Control code, outputs, metadata badges, and download links via shortcode params."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "7b29b28a",
"metadata": {
"tags": [
"demo",
"quickstart"
]
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting data...\n",
"Training notebook-ready block...\n",
"Done!\n"
]
},
{
"data": {
"text/plain": [
"0.982"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import math\n",
"accuracy = 0.982\n",
"print(\"Collecting data...\")\n",
"print(\"Training notebook-ready block...\")\n",
"print(\"Done!\")\n",
"accuracy"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "ceecfe89",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div style='font-family:Inter,ui-sans-serif;'><strong>Launch Readiness:</strong> <span style='color:#22c55e;'>98.2% confidence</span><br><em>Notebook blocks are theme-aware and dark-mode friendly.</em></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from IPython.display import HTML\n",
"HTML(\"<div style='font-family:Inter,ui-sans-serif;'><strong>Launch Readiness:</strong> <span style='color:#22c55e;'>98.2% confidence</span><br><em>Notebook blocks are theme-aware and dark-mode friendly.</em></div>\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "664e49ca",
"metadata": {
"tags": [
"metrics"
]
},
"outputs": [
{
"data": {
"application/json": {
"metrics": {
"engagement_rate": 0.73,
"read_time_minutes": 4.6,
"subscribers": 1280
}
},
"text/plain": [
"{'metrics': {'engagement_rate': 0.73, 'read_time_minutes': 4.6, 'subscribers': 1280}}"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"metrics = {\n",
" 'metrics': {\n",
" 'engagement_rate': 0.73,\n",
" 'read_time_minutes': 4.6,\n",
" 'subscribers': 1280\n",
" }\n",
"}\n",
"metrics"
]
},
{
"cell_type": "markdown",
"id": "0f761ba1",
"metadata": {},
"source": [
"> Tip: Pair this block with Call-to-Action cards or the Embed shortcode to link to GitHub repos, datasets, or ARXIV preprints."
]
}
],
"metadata": {
"authors": [
{
"name": "HugoBlox Studio"
}
],
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11"
}
},
"nbformat": 4,
"nbformat_minor": 5
}