requirements

optimization202/ESUPS_case_study/requirements.txt

@@ -0,0 +1,12 @@
+gurobipy==11.0.3
+ipython==8.26.0
+ipywidgets==8.1.3
+numpy<2
+pandas==2.2.2
+pandera==0.20.3
+plotly==5.23.0
+pydantic==2.8.2
+scipy==1.14.1
+tqdm==4.66.4
+typing_extensions==4.12.2
+networkx

optimization202/Modeling_Session_1/completed_nonlinear_regression_exercise.ipynb

@@ -2976,8 +2976,16 @@
     "<div class=\"alert alert-warning alert-dismissible\">\n",
     "  <a href=\"#\" class=\"close\" data-dismiss=\"alert\" aria-label=\"close\">&times;</a>\n",
     "    <strong>Refresher: Whole model at a glance</strong> \n",
-    "    <p>We created this model over several different cells so we could dig into how and why each step is done.  When we put all the code together, the model is written in only a few lines of code.  Here is the complete code to write and solve this model after you have the data available:</p>\n",
-    "    <pre># Write and solve the nonlinear regression example:\n",
+    "    <p>We created this model over several different cells so we could dig into how and why each step is done.  When we put all the code together, the model is written in only a few lines of code.  Here is the complete code to write and solve this model after you have the data available:</p>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c02b4f8",
+   "metadata": {},
+   "source": [
+    "```python\n",
+    "# Write and solve the nonlinear regression example:\n",
     "import gurobipy as gp\n",
     "from gurobipy import GRB\n",
     "#\n",
@@ -2997,7 +3005,8 @@
     "model.setObjective(sum((ymodel[i] - ytrain[i])**2 for i in points), sense=GRB.MINIMIZE)\n",
     "#\n",
     "# Solve the model\n",
-    "model.optimize()</pre>"
+    "model.optimize()\n",
+    "```"
    ]
   },
   {