)]}'
{
  "id": "83a83cde121c3754024c9fc4458cb06d6ce53642",
  "entries": [
    {
      "mode": 33188,
      "type": "blob",
      "id": "e73636642c4e1c491c8edc18cd8cbc7ef7809dfc",
      "name": "README.md"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "743583e06093a65205e96e1d14abe335ed605080",
      "name": "chart.png"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "31a8aa645f59fda60c30e7bf6ff307b008827d2b",
      "name": "dataframe-parquet.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "ed705f5a95458facb4bb302da1e31129463228ea",
      "name": "python-udaf.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "30edd4198c00c9c09fa06ebe765f9f58c5b90fa3",
      "name": "python-udf.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "83e6884a76b2a4bc12b98346f56d54966e5f1d1e",
      "name": "query-pyarrow-data.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "8a2d59333485c80f6b6bd0b5a9ca565db53cc8d1",
      "name": "sql-on-pandas.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "0173b68b41e8b6c58719032a5110f975ddccaaab",
      "name": "sql-on-polars.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "7b2db6f2b987c693c8e45841f0fd26e074ae2334",
      "name": "sql-parquet.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "3569e6d8c4b18c3906b1e7c78453c33075bc31e7",
      "name": "sql-to-pandas.py"
    }
  ]
}
