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Merge pull request #2 from SECQUOIA/ui/jupyterbook-buttons
Add Colab per-page launch + license badges
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‎colab.html‎

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<!doctype html>
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<html lang="en">
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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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<title>Open in Colab</title>
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</head>
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<body>
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<p>Redirecting to Colab...</p>
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<p>If you are not redirected, <a href="https://colab.research.google.com/github/SECQUOIA/PU_CHE597_DSinChemE">open the repository in Colab</a>.</p>
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<script>
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(function () {
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const fallback = "https://colab.research.google.com/github/SECQUOIA/PU_CHE597_DSinChemE";
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const colabBlobBase = "https://colab.research.google.com/github/SECQUOIA/PU_CHE597_DSinChemE/blob/main/";
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const map = {
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"5b-iterative-code-development.iterative-development": "5b-Iterative_Code_Development/Iterative_Development.ipynb",
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"5b-iterative-code-development/iterative-development": "5b-Iterative_Code_Development/Iterative_Development.ipynb",
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"6b-eoa-clustering.elements-of-data-analysis": "6b-EoA_Clustering/Elements_of_Data_Analysis.ipynb",
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"6b-eoa-clustering/elements-of-data-analysis": "6b-EoA_Clustering/Elements_of_Data_Analysis.ipynb",
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"classification.supervised": "13-Classification/Supervised.ipynb",
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"classification/supervised": "13-Classification/Supervised.ipynb",
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"decision-trees-and-forests.decision-trees-and-forests": "12-Decision_Trees_and_Forests/Decision_Trees_and_Forests.ipynb",
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"decision-trees-and-forests/decision-trees-and-forests": "12-Decision_Trees_and_Forests/Decision_Trees_and_Forests.ipynb",
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"deep-learning.deep-learning": "14-Deep_Learning/Deep_Learning.ipynb",
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"deep-learning/deep-learning": "14-Deep_Learning/Deep_Learning.ipynb",
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"eoa-dow-example.elements-of-data-analysis": "6-EoA_Dow_Example/Elements_of_Data_Analysis.ipynb",
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"eoa-dow-example/elements-of-data-analysis": "6-EoA_Dow_Example/Elements_of_Data_Analysis.ipynb",
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"eoa-outliers-and-pca.eoa-outliers-and-pca": "7-EoA_Outliers_and_PCA/EoA_Outliers_and_PCA.ipynb",
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"eoa-outliers-and-pca/eoa-outliers-and-pca": "7-EoA_Outliers_and_PCA/EoA_Outliers_and_PCA.ipynb",
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"gaussian-processes.gaussian-processes": "18-Gaussian_Processes/Gaussian_Processes.ipynb",
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"gaussian-processes/gaussian-processes": "18-Gaussian_Processes/Gaussian_Processes.ipynb",
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"gradient-based-optimization.optimization-gradient-based": "9-Gradient_Based_Optimization/Optimization-Gradient_Based.ipynb",
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"gradient-based-optimization/optimization-gradient-based": "9-Gradient_Based_Optimization/Optimization-Gradient_Based.ipynb",
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"heuristic-optimization.optimization-heuristic": "10-Heuristic_Optimization/Optimization_Heuristic.ipynb",
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"heuristic-optimization/optimization-heuristic": "10-Heuristic_Optimization/Optimization_Heuristic.ipynb",
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"linear-regression.linear-regression": "8-Linear_Regression/Linear_Regression.ipynb",
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"linear-regression/linear-regression": "8-Linear_Regression/Linear_Regression.ipynb",
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"matplotlib.matplotlib": "3-Matplotlib/Matplotlib.ipynb",
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"matplotlib/matplotlib": "3-Matplotlib/Matplotlib.ipynb",
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"numpy.numpy": "2-Numpy/Numpy.ipynb",
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"numpy/numpy": "2-Numpy/Numpy.ipynb",
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"pandas-example.pandas-example": "5-Pandas_Example/Pandas_Example.ipynb",
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"pandas-example/pandas-example": "5-Pandas_Example/Pandas_Example.ipynb",
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"pandas-overview.pandas": "4-Pandas_Overview/Pandas.ipynb",
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"pandas-overview/pandas": "4-Pandas_Overview/Pandas.ipynb",
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"parameter-estimation.parameter-estimation": "11-Parameter_Estimation/Parameter_Estimation.ipynb",
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"parameter-estimation/parameter-estimation": "11-Parameter_Estimation/Parameter_Estimation.ipynb",
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"python-overview.python-intro": "1-Python_Overview/Python_Intro.ipynb",
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"python-overview/python-intro": "1-Python_Overview/Python_Intro.ipynb",
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"pytorch-convolution.pytorch-convolutions": "16-Pytorch_Convolution/PyTorch_Convolutions.ipynb",
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"pytorch-convolution/pytorch-convolutions": "16-Pytorch_Convolution/PyTorch_Convolutions.ipynb",
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"pytorch.pytorch": "15-Pytorch/PyTorch.ipynb",
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"pytorch/pytorch": "15-Pytorch/PyTorch.ipynb",
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"transfer-learning.transfer-learning": "17-Transfer_Learning/Transfer_Learning.ipynb",
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"transfer-learning/transfer-learning": "17-Transfer_Learning/Transfer_Learning.ipynb",
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"unsupervised-learning.unsupervised": "19-Unsupervised_Learning/Unsupervised.ipynb",
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"unsupervised-learning/unsupervised": "19-Unsupervised_Learning/Unsupervised.ipynb"
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};
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const ref = document.referrer || "";
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if (!ref) {
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window.location.replace(fallback);
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return;
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}
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let refUrl;
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try {
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refUrl = new URL(ref);
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} catch (err) {
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window.location.replace(fallback);
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return;
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}
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let parts = refUrl.pathname.split("/").filter(Boolean);
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if (parts[0] === "PU_CHE597_DSinChemE") {
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parts = parts.slice(1);
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}
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if (parts.length === 0) {
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window.location.replace(fallback);
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return;
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}
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const last = parts[parts.length - 1].replace(/\.html$/i, "");
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if (last === "index") {
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parts = parts.slice(0, -1);
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} else {
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parts[parts.length - 1] = last;
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}
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if (parts.length === 0) {
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window.location.replace(fallback);
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return;
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}
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const keySlash = parts.join("/");
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const keyDot = parts.join(".");
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const nbPath = map[keySlash] || map[keyDot];
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if (!nbPath) {
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window.location.replace(fallback);
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return;
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}
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window.location.replace(colabBlobBase + nbPath);
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})();
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</script>
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</body>
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</html>

‎myst.yml‎

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- name: David E. Bernal Neira · Davidson School of Chemical Engineering
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- name: Purdue University
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copyright: '2026'
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license:
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content: CC-BY-4.0
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code: MIT
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github: SECQUOIA/PU_CHE597_DSinChemE
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settings:
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output_matplotlib_strings: remove
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site:
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options:
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folders: true
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actions:
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- title: Open in Colab
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url: colab.html
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static: true
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template: book-theme

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