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    "<h1 class=\"jp-toc-ignore\">ICON Training - Hands-on Session</h1>\n",
    "\n",
    "# Helper script: Batch job monitoring\n",
    "\n",
    "---\n",
    "\n",
    "This Jupyter notebook provides a method for continuously monitoring the status of your HPC jobs. The notebook cell below executes a loop that refreshes its output until the kernel is manually interrupted. It is important to choose an appropriate polling interval to avoid excessive load on the scheduler.\n",
    "\n"
   ]
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   "source": [
    "import asyncio\n",
    "import os\n",
    "import subprocess\n",
    "from IPython.display import display, clear_output\n",
    "\n",
    "async def poll_command(cmd, interval=10):\n",
    "    while True:\n",
    "        # Execute the command and capture output\n",
    "        proc = await asyncio.create_subprocess_shell(\n",
    "            cmd,\n",
    "            stdout=asyncio.subprocess.PIPE,\n",
    "            stderr=asyncio.subprocess.PIPE\n",
    "        )\n",
    "        stdout, stderr = await proc.communicate()\n",
    "        output = stdout.decode() if stdout else ''\n",
    "        error = stderr.decode() if stderr else ''\n",
    "        \n",
    "        clear_output(wait=True)\n",
    "        print(f\"Command: {cmd}\\n\")\n",
    "        print(output)\n",
    "        if error:\n",
    "            print(\"Error:\", error)\n",
    "        \n",
    "        await asyncio.sleep(interval)  # Non-blocking sleep[3][5]\n",
    "\n",
    "# Get the current user from the environment\n",
    "user = os.environ.get('USER')\n",
    "cmd = f'squeue -u {user}; date'\n",
    "\n",
    "# Start the polling coroutine\n",
    "asyncio.ensure_future(poll_command(cmd, interval=10))"
   ]
  }
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