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AllenDowney · Jul 5, 2024 · 24c9806 · 24c9806
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diff --git a/examples/beta.ipynb b/examples/beta.ipynb
@@ -174,7 +174,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -188,7 +188,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

diff --git a/examples/beta_binomial.ipynb b/examples/beta_binomial.ipynb
@@ -8,7 +8,9 @@
     "# The All-Knowing Cube of Probability\n",
     "\n",
     "> This example uses array computations to explore the concept of conjugate distributions.\n",
-    "It is an extension of *[Think Bayes](https://greenteapress.com/wp/think-bayes/)*, [Chapter 18](https://allendowney.github.io/ThinkBayes2/chap18.html), which explains how to use conjugate priors to do Bayesian updates with very little computation. \n",
+    "It is an extension of *[Think Bayes](https://greenteapress.com/wp/think-bayes/)*, [Chapter 18](https://allendowney.github.io/ThinkBayes2/chap18.html), which explains how to use conjugate priors to do Bayesian updates with very little computation.\n",
+    "\n",
+    "[Click here to run this notebook on Colab](https://colab.research.google.com/github/AllenDowney/ThinkBayes2/blob/master/examples/beta_binomial.ipynb)\n",
     "\n",
     "The all-knowing cube of probability is an 3-D array that contains the past, the present, and the probabilistic future.\n",
     "\n",

diff --git a/examples/elvis_soln.ipynb b/examples/elvis_soln.ipynb
@@ -110,7 +110,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.0"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,

diff --git a/examples/geiger_soln.ipynb b/examples/geiger_soln.ipynb
@@ -844,7 +844,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -858,7 +858,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,

diff --git a/examples/hospital.ipynb b/examples/hospital.ipynb
@@ -4,10 +4,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Grid algorithms for hierarchical models\n",
-    "\n",
-    "[Bayesian Inference with PyMC](https://allendowney.github.io/BayesianInferencePyMC)\n",
-    "\n",
+    "# Grid algorithms for hierarchical models"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "Copyright 2021 Allen B. Downey\n",
     "\n",
     "License: [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/)"
@@ -33,7 +36,11 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "remove-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# If we're running on Colab, install libraries\n",
@@ -49,7 +56,11 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "remove-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# PyMC generates a FutureWarning we don't need to deal with\n",