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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "3848ed8f-b092-49e1-a66e-8de9a39e6ae9",
+   "metadata": {},
+   "source": [
+    "![title](superblockify_logo.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74a6085d-50ec-4334-a0e5-13ed2b776b5b",
+   "metadata": {},
+   "source": [
+    "# Minimum working example"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ddf99e9-c41c-4a47-878e-4f04d480fa2e",
+   "metadata": {},
+   "source": [
+    "This notebook runs a minimum working example with `superblockify`.  \n",
+    "The learn more about `superblockify`, visit: [superblockify.city](https://superblockify.city)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5fa10ad7-f17b-4cd0-b02d-375beacf5efa",
+   "metadata": {},
+   "source": [
+    "## Import `superblockify`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dfa871e2-7683-428c-a4a6-df97cb62fdec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import superblockify as sb"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "92a6ae87-0b1c-4960-a1b7-9c4f6b4ff673",
+   "metadata": {},
+   "source": [
+    "## Initialize the partitioner"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "daa39c85-bc2e-4f83-810e-d9957b4fa87c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "partitioner = sb.ResidentialPartitioner(\n",
+    "    name=\"Scheveningen_test\",\n",
+    "    city_name=\"Scheveningen\",\n",
+    "    search_str=\"Scheveningen, NL\",\n",
+    "    unit=\"time\",  # \"time\", \"distance\", any other edge attribute, or None to count edges\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba2b9fa5-172e-4dab-949e-3151e6c2c360",
+   "metadata": {},
+   "source": [
+    "Select a different city by finding the corresponding search string (`search_str`) at [https://nominatim.openstreetmap.org/](https://nominatim.openstreetmap.org/ui/search.html?q=Scheveningen%2C+NL).  \n",
+    "The smaller the place, the quicker the partitioning. For large places sufficient memory is required."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9580056-4c90-4b3e-b362-0cb361578eb5",
+   "metadata": {},
+   "source": [
+    "## Run the partitioner"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "56c03f44-8603-47b4-9436-e36c7bdf649c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "partitioner.run(\n",
+    "    calculate_metrics=True,  # set to False if you are not interested in metrics\n",
+    "    make_plots=True,  # set to False if you are not interested in plots\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6aaa66e4-12aa-45cb-8307-1c756c02987c",
+   "metadata": {},
+   "source": [
+    "## Save results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3932594e-5aa8-4c59-9691-a8b07841cd18",
+   "metadata": {},
+   "source": [
+    "Save the results to a GeoPackage (`.gpkg`) file:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c04e0a0c-fb4d-4068-bfec-7d881546962c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sb.save_to_gpkg(partitioner, save_path=None)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "sb_env",
+   "language": "python",
+   "name": "sb_env"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}