)]}'
{
  "commit": "f05782f9ae647b06fd13ea97bc6879e5e61e5ea6",
  "tree": "9677e9a2718d880ee3fe0013090e7a96b90b07df",
  "parents": [
    "e1558c1512330f9c04464db9340866f87e8324e9"
  ],
  "author": {
    "name": "skrawczyk",
    "email": "skrawczyk@stitchfix.com",
    "time": "Wed Dec 22 18:06:18 2021 -0800"
  },
  "committer": {
    "name": "skrawczyk",
    "email": "skrawczyk@stitchfix.com",
    "time": "Wed Dec 22 18:07:43 2021 -0800"
  },
  "message": "Adds first pass at the movie example from metaflow\n\nInspiration is from:\nhttps://github.com/Netflix/metaflow/blob/master/metaflow/tutorials/01-playlist/playlist.py\n\nTwo interesting things to note here:\n\n1. We could have the driver do the loading of the CSV, or we could have a function to do it.\n2. Filter operations are easiest to happen in the driver I think. Not to say you can\u0027t do it,\nwe\u0027d just need better logic around creating the dataframe, and not trying to combine series\nwith various index lengths. Hmm.\n",
  "tree_diff": [
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      "new_mode": 33188,
      "new_path": "examples/playlist/README.md"
    },
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      "new_path": "examples/playlist/movies.csv"
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      "new_path": "examples/playlist/my_script.py"
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}