Added subsection about hanging jupyter notebooks during integration

examples/tutorial.ipynb

@@ -233,7 +233,7 @@
    "id": "36dd794c-d101-4295-8307-1e4d34bb8122",
    "metadata": {},
    "source": [
-    "## Integrating Spots\n",
+    "# Integrating Spots\n",
     "\n",
     "Now that we have a refined experiment model, we can use `laue.predict` and `laue.integrate` to get integrated intensities from the data. We will predict the locations of all feasible spots on the detector given our refined experiment model, and at each of those locations we will integrate the intensities to get an `mtz` file that we can feed into `careless`."
    ]
@@ -255,6 +255,18 @@
     "laue.predict poly_refined.* output.reflections=\"predicted.refl\" output.log=\"laue.predict.log\" wavelengths.lam_min=0.95 wavelengths.lam_max=1.15 n_proc=$N"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e2d78980-dedb-45e4-a8f6-f0f683869460",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "### Hanging Notebooks\n",
+    "\n",
+    "The below command run inside a Jupyter notebook will likely leave you with a hanging notebook! Integration is a resource-intensive process, so we advise copying the below command (plus any edits you make) and running it from a terminal, or submitting as a job to a computing cluster."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,