diff --git a/DP2/100_How_to_use_RSP_tools/104_Butler_data_access/104_5_Image_subsets_with_the_butler.ipynb b/DP2/100_How_to_use_RSP_tools/104_Butler_data_access/104_5_Image_subsets_with_the_butler.ipynb
index 888fb42e..7be25867 100644
--- a/DP2/100_How_to_use_RSP_tools/104_Butler_data_access/104_5_Image_subsets_with_the_butler.ipynb
+++ b/DP2/100_How_to_use_RSP_tools/104_Butler_data_access/104_5_Image_subsets_with_the_butler.ipynb
@@ -28,7 +28,7 @@
     "Data Release: [Data Preview 2](https://dp2.lsst.io/)\\\n",
     "Container Size: Large\\\n",
     "LSST Science Pipelines version: r30.0.11\\\n",
-    "Last verified to run: 2026-08-18\\\n",
+    "Last verified to run: 2026-09-24\\\n",
     "Repository: [github.com/lsst/tutorial-notebooks](https://github.com/lsst/tutorial-notebooks)\\\n",
     "DOI: [10.11578/rubin/dc.20250909.20](https://doi.org/10.11578/rubin/dc.20250909.20)"
    ]
@@ -419,7 +419,7 @@
     "smaller_box = coadd.bbox.padded(-100)\n",
     "x_interval = smaller_box.x\n",
     "y_interval = smaller_box.y\n",
-    "print(smaller_box) \n",
+    "print(smaller_box)\n",
     "print(x_interval, y_interval)"
    ]
   },
@@ -442,7 +442,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "coadd_local = coadd.local[10:1000,10:1000]\n",
+    "coadd_local = coadd.local[10:1000, 10:1000]\n",
     "print(coadd_local.bbox)\n",
     "print(f\"X-pixel range: [{coadd_local.bbox.x.start}, {coadd_local.bbox.x.stop}]\")\n",
     "print(f\"Y-pixel range: [{coadd_local.bbox.y.start}, {coadd_local.bbox.y.stop}]\")"
@@ -562,11 +562,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "subset = butler.get('deep_coadd', \n",
-    "                    dataId=dataId, \n",
-    "                    parameters={'bbox': bbox}\n",
-    "                   )\n",
-    "\n",
+    "subset = butler.get('deep_coadd', dataId=dataId, parameters={'bbox': bbox})\n",
     "print(subset)"
    ]
   },
@@ -593,7 +589,7 @@
    "source": [
     "display = afw_display.Display(frame=1)\n",
     "display.scale('asinh', 'zscale')\n",
-    "display.image(subset.image.to_legacy())\n",
+    "display.image(subset.image)\n",
     "plt.show()"
    ]
   },
@@ -693,7 +689,7 @@
    "source": [
     "display = afw_display.Display(frame=1)\n",
     "display.scale('asinh', 'zscale')\n",
-    "display.image(subset_exposure.image.to_legacy())\n",
+    "display.image(subset_exposure.image)\n",
     "plt.show()"
    ]
   },
@@ -936,11 +932,12 @@
     "\n",
     "    wcs = butler.get('deep_coadd.sky_projection', dataId=dataId)\n",
     "    xy = wcs.sky_to_pixel(point)\n",
-    "    \n",
-    "    selection_bbox = Box.factory[round(xy.y):round(xy.y)+1, round(xy.x):round(xy.x)+1].padded(subset_size)\n",
+    "\n",
+    "    selection_bbox = Box.factory[round(xy.y):round(xy.y)+1,\n",
+    "                                 round(xy.x):round(xy.x)+1].padded(subset_size)\n",
     "    params = {'bbox': selection_bbox}\n",
     "    subset = butler.get(dataset_refs[0], parameters=params)\n",
-    "    \n",
+    "\n",
     "    print(f\"Processed ID {target['id']}\")\n",
     "\n",
     "    img_array = subset.image.array\n",