diff --git a/notebooks/ProjectMockup.ipynb b/notebooks/ProjectMockup.ipynb
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+++ b/notebooks/ProjectMockup.ipynb
@@ -0,0 +1,249 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1c4fd5b5-1b9e-4a8e-82b3-6ab214c203ea",
+   "metadata": {},
+   "source": [
+    "## Project Mockup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "54a52e27-3d9d-4574-990b-329a47d4bf13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "struct S { double val = 1.0; };"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b9e80eda-8924-4f3c-bbc0-7b74ba9b9a36",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%python\n",
+    "\n",
+    "python_vec = cppyy.gbl.std.vector(cppyy.gbl.S)(5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "697760dd-200e-4fa6-85b2-f1786215eda3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%python\n",
+    "\n",
+    "print(python_vec[3].val)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "d581f6cc-2737-4c11-b37a-25bb5296936a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<__main__.Derived object at 0x7fffdf639e40>\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<string>:1: RuntimeWarning: class \"S\" has no virtual destructor\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%python\n",
+    "\n",
+    "class Derived(cppyy.gbl.S):\n",
+    "  def __init__(self):\n",
+    "    val = 0\n",
+    "res = Derived()\n",
+    "print(res)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "f20feaa6-62a2-4805-853b-268b1c1832ac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "__global__ void arr_sum(int n, double *x, double *sum) {\n",
+    "    for(int i = 0; i < n; i++)\n",
+    "        *sum +=x[i];\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "cfd92edb-41e0-4bb8-b7a1-852782964423",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "int n = 5;\n",
+    "double h_sum;\n",
+    "double *x = new double[n];"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "90480051-7a57-4145-85c4-ca3bdc8e101f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "void setData(const std::vector<S>& a) {\n",
+    "    int i = 0;\n",
+    "    for(auto &s : a) {\n",
+    "        x[i] = s.val;\n",
+    "        i++;\n",
+    "    }\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "9d9913b7-db39-4c76-8939-efbca9256143",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%python\n",
+    "\n",
+    "data_list = [1.0, 2.0, 3.0, 4.0, 5.0]\n",
+    "for c, i in enumerate(data_list):\n",
+    "    python_vec[c].val = i\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "846901c7-0cbb-4978-9efe-7f5870b939a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%python\n",
+    "\n",
+    "cppyy.gbl.setData(python_vec)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "f57c46fa-addb-4d80-8cc3-29a464911fdc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "double *d_x, *d_sum;\n",
+    "cudaMalloc((void **)&d_x, n * sizeof(double));\n",
+    "cudaMalloc((void **)&d_sum, sizeof(double));"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "d617ee2c-d9b7-4c4f-8ef2-051df37b2737",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cudaMemcpy(d_x, x, n * sizeof(double), cudaMemcpyHostToDevice);\n",
+    "cudaMemcpy(d_sum, &h_sum, sizeof(double), cudaMemcpyHostToDevice);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "8417b211-e7f9-448d-969a-27fc0eb32697",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arr_sum<<<1, 1>>>(n, d_x, d_sum);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "4374b687-31a5-4b85-8d66-e738956814b4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cudaMemcpy(&h_sum, d_sum, sizeof(double), cudaMemcpyDeviceToHost);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "8198bfdf-0ff7-4e27-ba6b-087833055794",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sum: 15\n"
+     ]
+    }
+   ],
+   "source": [
+    "std::cout << \"Sum: \" << h_sum << std::endl;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "33ffcf05-58cc-4212-aef7-4a5813fdc178",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "delete[] x;\n",
+    "cudaFree(d_x);\n",
+    "cudaFree(d_sum);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "add835ef-6196-47d8-be75-14b872438de1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "CUDA (C++17)",
+   "language": "CUDA",
+   "name": "cuda-xcpp17"
+  },
+  "language_info": {
+   "codemirror_mode": "text/x-c++src",
+   "file_extension": ".cpp",
+   "mimetype": "text/x-c++src",
+   "name": "c++",
+   "version": "17"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}