{
  "id": 94432,
  "title": "Latest talk on datatable by h2o.ai for better understanding",
  "url": "/competitions/champs-scalar-coupling/discussion/94432",
  "author_name": "",
  "post_date": "2019-06-04T13:41:48.042045500Z",
  "votes": 3,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I have always been looking for a great talk on datatable found this one to be really helpful <a href=\"https://www.youtube.com/watch?v=TO3aRtw86Ts\">https://www.youtube.com/watch?v=TO3aRtw86Ts</a> .</p>\n\n<p>The author talks about how one can use it for data science. I have found it way better than pandas/numpy in terms of speed and memory efficiency for fitting large datasets. </p>",
  "messages": [
    {
      "id": "543350",
      "postDate": "06/04/2019 13:41:48",
      "content": "<p>I have always been looking for a great talk on datatable found this one to be really helpful <a href=\"https://www.youtube.com/watch?v=TO3aRtw86Ts\">https://www.youtube.com/watch?v=TO3aRtw86Ts</a> .</p>\n\n<p>The author talks about how one can use it for data science. I have found it way better than pandas/numpy in terms of speed and memory efficiency for fitting large datasets. </p>",
      "rawMarkdown": "I have always been looking for a great talk on datatable found this one to be really helpful https://www.youtube.com/watch?v=TO3aRtw86Ts .\n\nThe author talks about how one can use it for data science. I have found it way better than pandas/numpy in terms of speed and memory efficiency for fitting large datasets.",
      "votes": null
    },
    {
      "id": "2315274",
      "postDate": "06/24/2023 02:15:25",
      "content": "<p>Thank you for your kind words.</p>",
      "rawMarkdown": "Thank you for your kind words.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2315274,
      "author_name": "kononenko",
      "author_url": "",
      "post_date": "06/24/2023 02:15:25",
      "content": "<p>Thank you for your kind words.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "543350": "I have always been looking for a great talk on datatable found this one to be really helpful https://www.youtube.com/watch?v=TO3aRtw86Ts .\n\nThe author talks about how one can use it for data science. I have found it way better than pandas/numpy in terms of speed and memory efficiency for fitting large datasets.",
    "2315274": "Thank you for your kind words."
  },
  "source": "meta"
}