jupyter.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a4d70b4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Install required modules\n",
    "import sys\n",
    "!{sys.executable} -m pip install ipython-sql"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "281ad67c",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext sql\n",
    "%sql postgresql://gooddata:gooddata123@localhost:2543/gooddata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c625142a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://gooddata:***@localhost:2543/gooddata\n",
      "5 rows affected.\n",
      "+------------------+-----------+\n",
      "| customers_region |  revenue  |\n",
      "+------------------+-----------+\n",
      "|     Midwest      |  88967.05 |\n",
      "|    Northeast     |  51163.35 |\n",
      "|      South       | 203868.55 |\n",
      "|     Unknown      |   18.70   |\n",
      "|       West       | 119397.28 |\n",
      "+------------------+-----------+\n"
     ]
    }
   ],
   "source": [
    "demo_data = %sql SELECT customers_region, revenue FROM demo.compute;\n",
    "print(demo_data)"
   ]
  }
 ],
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