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feat(scripts): add notebook generator and lesson notebooks #461

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feat(scripts): add notebook generator and lesson notebooks
jayanthansenthilkumar Sep 8, 2026
41df3a6
chore(coderabbit): exclude notebook files from review filters
jayanthansenthilkumar Sep 8, 2026
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4 changes: 4 additions & 0 deletions .coderabbit.yaml
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Expand Up @@ -4,3 +4,7 @@ reviews:
changelog: false
release_notes: false
collapse_walkthrough: true
path_filters:
- "!**/notebook/*.ipynb"
- "!**/*.ipynb"

40 changes: 40 additions & 0 deletions phases/00-setup-and-tooling/01-dev-environment/notebook/experiment.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Install PyTorch with CUDA: Interactive Visual Explorer\n",
"\n",
"> Your tools shape your thinking. Set them up once, set them up right.\n",
"\n",
"Welcome to the interactive companion notebook for **Install PyTorch with CUDA**.\n",
"\n",
"In this notebook, you can interactively execute the lesson's raw implementation, plot state transformations, and run experiment variations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Configure plotting aesthetics\n",
"plt.style.use('seaborn-v0_8-whitegrid' if 'seaborn-v0_8-whitegrid' in plt.style.available else 'default')\n",
"plt.rcParams['figure.figsize'] = (8, 5)\n",
"plt.rcParams['font.size'] = 11\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
40 changes: 40 additions & 0 deletions phases/00-setup-and-tooling/02-git-and-collaboration/notebook/experiment.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# work through lessons, commit your code: Interactive Visual Explorer\n",
"\n",
"> Version control is not optional. Every experiment, every model, every lesson you build here gets tracked.\n",
"\n",
"Welcome to the interactive companion notebook for **work through lessons, commit your code**.\n",
"\n",
"In this notebook, you can interactively execute the lesson's raw implementation, plot state transformations, and run experiment variations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Configure plotting aesthetics\n",
"plt.style.use('seaborn-v0_8-whitegrid' if 'seaborn-v0_8-whitegrid' in plt.style.available else 'default')\n",
"plt.rcParams['figure.figsize'] = (8, 5)\n",
"plt.rcParams['font.size'] = 11\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
40 changes: 40 additions & 0 deletions phases/00-setup-and-tooling/03-gpu-setup-and-cloud/notebook/experiment.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# GPU Setup & Cloud: Interactive Visual Explorer\n",
"\n",
"> Training on CPU is fine for learning. Training for real needs a GPU.\n",
"\n",
"Welcome to the interactive companion notebook for **GPU Setup & Cloud**.\n",
"\n",
"In this notebook, you can interactively execute the lesson's raw implementation, plot state transformations, and run experiment variations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Configure plotting aesthetics\n",
"plt.style.use('seaborn-v0_8-whitegrid' if 'seaborn-v0_8-whitegrid' in plt.style.available else 'default')\n",
"plt.rcParams['figure.figsize'] = (8, 5)\n",
"plt.rcParams['font.size'] = 11\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
40 changes: 40 additions & 0 deletions phases/00-setup-and-tooling/04-apis-and-keys/notebook/experiment.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# APIs & Keys: Interactive Visual Explorer\n",
"\n",
"> Every AI API works the same way: send a request, get a response. The details change, the pattern doesn't.\n",
"\n",
"Welcome to the interactive companion notebook for **APIs & Keys**.\n",
"\n",
"In this notebook, you can interactively execute the lesson's raw implementation, plot state transformations, and run experiment variations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Configure plotting aesthetics\n",
"plt.style.use('seaborn-v0_8-whitegrid' if 'seaborn-v0_8-whitegrid' in plt.style.available else 'default')\n",
"plt.rcParams['figure.figsize'] = (8, 5)\n",
"plt.rcParams['font.size'] = 11\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
40 changes: 40 additions & 0 deletions phases/00-setup-and-tooling/05-jupyter-notebooks/notebook/experiment.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Jupyter Notebooks: Interactive Visual Explorer\n",
"\n",
"> Notebooks are the lab bench of AI engineering. You prototype here, then move what works into production.\n",
"\n",
"Welcome to the interactive companion notebook for **Jupyter Notebooks**.\n",
"\n",
"In this notebook, you can interactively execute the lesson's raw implementation, plot state transformations, and run experiment variations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Configure plotting aesthetics\n",
"plt.style.use('seaborn-v0_8-whitegrid' if 'seaborn-v0_8-whitegrid' in plt.style.available else 'default')\n",
"plt.rcParams['figure.figsize'] = (8, 5)\n",
"plt.rcParams['font.size'] = 11\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
40 changes: 40 additions & 0 deletions phases/00-setup-and-tooling/06-python-environments/notebook/experiment.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# PyTorch CUDA version must be <= driver CUDA version.: Interactive Visual Explorer\n",
"\n",
"> Dependency hell is real. Virtual environments are the cure.\n",
"\n",
"Welcome to the interactive companion notebook for **PyTorch CUDA version must be <= driver CUDA version.**.\n",
"\n",
"In this notebook, you can interactively execute the lesson's raw implementation, plot state transformations, and run experiment variations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Configure plotting aesthetics\n",
"plt.style.use('seaborn-v0_8-whitegrid' if 'seaborn-v0_8-whitegrid' in plt.style.available else 'default')\n",
"plt.rcParams['figure.figsize'] = (8, 5)\n",
"plt.rcParams['font.size'] = 11\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
40 changes: 40 additions & 0 deletions phases/00-setup-and-tooling/07-docker-for-ai/notebook/experiment.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# View container logs: Interactive Visual Explorer\n",
"\n",
"> Containers make \"works on my machine\" a thing of the past.\n",
"\n",
"Welcome to the interactive companion notebook for **View container logs**.\n",
"\n",
"In this notebook, you can interactively execute the lesson's raw implementation, plot state transformations, and run experiment variations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Configure plotting aesthetics\n",
"plt.style.use('seaborn-v0_8-whitegrid' if 'seaborn-v0_8-whitegrid' in plt.style.available else 'default')\n",
"plt.rcParams['figure.figsize'] = (8, 5)\n",
"plt.rcParams['font.size'] = 11\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
40 changes: 40 additions & 0 deletions phases/00-setup-and-tooling/08-editor-setup/notebook/experiment.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Editor Setup: Interactive Visual Explorer\n",
"\n",
"> Your editor is your co-pilot. Configure it once so it stays out of your way and starts pulling its weight.\n",
"\n",
"Welcome to the interactive companion notebook for **Editor Setup**.\n",
"\n",
"In this notebook, you can interactively execute the lesson's raw implementation, plot state transformations, and run experiment variations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Configure plotting aesthetics\n",
"plt.style.use('seaborn-v0_8-whitegrid' if 'seaborn-v0_8-whitegrid' in plt.style.available else 'default')\n",
"plt.rcParams['figure.figsize'] = (8, 5)\n",
"plt.rcParams['font.size'] = 11\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
40 changes: 40 additions & 0 deletions phases/00-setup-and-tooling/09-data-management/notebook/experiment.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# gcs_path = \"gs://my-bucket/datasets/\": Interactive Visual Explorer\n",
"\n",
"> Data is the fuel. How you manage it determines how fast you go.\n",
"\n",
"Welcome to the interactive companion notebook for **gcs_path = \"gs://my-bucket/datasets/\"**.\n",
"\n",
"In this notebook, you can interactively execute the lesson's raw implementation, plot state transformations, and run experiment variations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Configure plotting aesthetics\n",
"plt.style.use('seaborn-v0_8-whitegrid' if 'seaborn-v0_8-whitegrid' in plt.style.available else 'default')\n",
"plt.rcParams['figure.figsize'] = (8, 5)\n",
"plt.rcParams['font.size'] = 11\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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