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   "cell_type": "markdown",
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   "source": [
    "# 1. Playing with datetimes\n",
    "You're given a naive datetime, see `NAIVE_DT` variable below. Although this variable is naive, you happen to know that the time specified by `NAIVE_DT` is in UTC.\n",
    "\n",
    "Based on this information, your task is to create new datetime variables by converting `NAIVE_DT` to UTC and then to time in Sydney and Los Angeles. Use the following variable names: `utc_dt`, `sydney_dt`, and `la_dt`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "editable": false
   },
   "outputs": [],
   "source": [
    "import datetime as dt\n",
    "from zoneinfo import ZoneInfo, available_timezones\n",
    "\n",
    "NAIVE_DT = dt.datetime(2000, 1, 1, 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you don't know the timezone name you're looking for, this may be helpful:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "editable": false
   },
   "outputs": [],
   "source": [
    "for tz in available_timezones():\n",
    "    print(tz)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now create `utc_dt`, `sydney_dt`, and `la_dt`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your implementation here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's verify that the solution is correct."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "editable": false
   },
   "outputs": [],
   "source": [
    "assert utc_dt.isoformat() == \"2000-01-01T10:00:00+00:00\"\n",
    "assert sydney_dt.isoformat() == \"2000-01-01T21:00:00+11:00\"\n",
    "assert la_dt.isoformat() == \"2000-01-01T02:00:00-08:00\"\n",
    "\n",
    "print(\"All good!\")"
   ]
  }
 ],
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