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   "source": [
    "# Using Julia from python\n",
    "\n",
    "This notebook provides a quick demonstration, how to use Julia's `eigen` function from python.\n",
    "\n",
    "First you need to install the Julia package from python. For this, for example, do the following:\n",
    "```bash\n",
    "pip install julia\n",
    "```\n",
    "Now you can run the subsequent code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "# Launch Julia:\n",
    "from julia.api import Julia\n",
    "Julia(compiled_modules=False)\n",
    "\n",
    "# Import LinearAlgebra\n",
    "from julia import LinearAlgebra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = np.random.rand(10, 10)\n",
    "a = a + np.transpose(a) + np.eye(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = LinearAlgebra.eigen(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "res.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "res.vectors"
   ]
  }
 ],
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