add open in colab and try except

notebooks/escience/1.0-traditional-doe-vs-bayesian.ipynb

@@ -7,6 +7,8 @@
    "source": [
     "# Traditional DoE vs. Bayesian Optimization\n",
     "\n",
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sparks-baird/self-driving-lab-demo/blob/main/notebooks/4.2-paho-mqtt-colab-sdl-demo-test.ipynb)\n",
+    "\n",
     "The [first](https://youtu.be/Evua529dAgc) and\n",
     "[second](https://youtu.be/41fQs4JxRQA) videos from Taylor Sparks' [Optimization Tutorial\n",
     "YouTube playlist](https://youtube.com/playlist?list=PLL0SWcFqypClTIMQDOs_Jug70qaVPOzEc)\n",
@@ -21,6 +23,21 @@
     "optimization is much more efficient than traditional DoE."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "try:\n",
+    "  import google.colab\n",
+    "  IN_COLAB = True\n",
+    "  %pip install git+https://github.com/sparks-baird/self-driving-lab-demo.git # latest\n",
+    "  # %pip install self-driving-lab-demo # uncomment for stable release\n",
+    "except:\n",
+    "  IN_COLAB = False"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,