{
  "id": 285196,
  "title": "Train Dataset in Feather Format",
  "url": "/competitions/g-research-crypto-forecasting/discussion/285196",
  "author_name": "",
  "post_date": "2021-11-03T17:32:24.252765100Z",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/raghavprabhakar66/gresearch-crypto-train-feather-dataset\" target=\"_blank\">https://www.kaggle.com/raghavprabhakar66/gresearch-crypto-train-feather-dataset</a></p>\n<p>As the train csv file takes a lot of time to load. Here is the link for train dataset converted to feather format as it reduces the loading time drastically.<br>\nTo use:</p>\n<pre><code>df = pd.read_feather(file_path)\n</code></pre>",
  "messages": [
    {
      "id": "1569760",
      "postDate": "11/03/2021 17:32:24",
      "content": "<p><a href=\"https://www.kaggle.com/raghavprabhakar66/gresearch-crypto-train-feather-dataset\" target=\"_blank\">https://www.kaggle.com/raghavprabhakar66/gresearch-crypto-train-feather-dataset</a></p>\n<p>As the train csv file takes a lot of time to load. Here is the link for train dataset converted to feather format as it reduces the loading time drastically.<br>\nTo use:</p>\n<pre><code>df = pd.read_feather(file_path)\n</code></pre>",
      "rawMarkdown": "https://www.kaggle.com/raghavprabhakar66/gresearch-crypto-train-feather-dataset\n\nAs the train csv file takes a lot of time to load. Here is the link for train dataset converted to feather format as it reduces the loading time drastically.\nTo use:\n\n```python\ndf = pd.read_feather(file_path)\n```",
      "votes": null
    },
    {
      "id": "1570607",
      "postDate": "11/04/2021 09:00:02",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/raghavprabhakar66\" target=\"_blank\">@raghavprabhakar66</a> </p>\n<p>Thank you for sharing. </p>\n<p>You might find this interesting too</p>\n<p><a href=\"https://www.kaggle.com/c/jane-street-market-prediction/discussion/199233\" target=\"_blank\">https://www.kaggle.com/c/jane-street-market-prediction/discussion/199233</a><br>\n<a href=\"https://www.kaggle.com/pedrocouto39/fast-reading-w-pickle-feather-parquet-jay\" target=\"_blank\">https://www.kaggle.com/pedrocouto39/fast-reading-w-pickle-feather-parquet-jay</a><br>\n<a href=\"https://www.kaggle.com/pedrocouto39/jane-street-market-train-data-best-formats\" target=\"_blank\">https://www.kaggle.com/pedrocouto39/jane-street-market-train-data-best-formats</a></p>",
      "rawMarkdown": "Hi @raghavprabhakar66 \n\nThank you for sharing. \n\nYou might find this interesting too\n\nhttps://www.kaggle.com/c/jane-street-market-prediction/discussion/199233\nhttps://www.kaggle.com/pedrocouto39/fast-reading-w-pickle-feather-parquet-jay\nhttps://www.kaggle.com/pedrocouto39/jane-street-market-train-data-best-formats",
      "votes": null
    },
    {
      "id": "1571150",
      "postDate": "11/04/2021 16:28:06",
      "content": "<p>Thanks for sharing this <a href=\"https://www.kaggle.com/faisalalsrheed\" target=\"_blank\">@faisalalsrheed</a>. I will definately go through this and will update the dataset respectively.</p>",
      "rawMarkdown": "Thanks for sharing this @faisalalsrheed. I will definately go through this and will update the dataset respectively.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1570607,
      "author_name": "faisalalsrheed",
      "author_url": "",
      "post_date": "11/04/2021 09:00:02",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/raghavprabhakar66\" target=\"_blank\">@raghavprabhakar66</a> </p>\n<p>Thank you for sharing. </p>\n<p>You might find this interesting too</p>\n<p><a href=\"https://www.kaggle.com/c/jane-street-market-prediction/discussion/199233\" target=\"_blank\">https://www.kaggle.com/c/jane-street-market-prediction/discussion/199233</a><br>\n<a href=\"https://www.kaggle.com/pedrocouto39/fast-reading-w-pickle-feather-parquet-jay\" target=\"_blank\">https://www.kaggle.com/pedrocouto39/fast-reading-w-pickle-feather-parquet-jay</a><br>\n<a href=\"https://www.kaggle.com/pedrocouto39/jane-street-market-train-data-best-formats\" target=\"_blank\">https://www.kaggle.com/pedrocouto39/jane-street-market-train-data-best-formats</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 1571150,
          "author_name": "raghavprabhakar66",
          "author_url": "",
          "post_date": "11/04/2021 16:28:06",
          "content": "<p>Thanks for sharing this <a href=\"https://www.kaggle.com/faisalalsrheed\" target=\"_blank\">@faisalalsrheed</a>. I will definately go through this and will update the dataset respectively.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1569760": "https://www.kaggle.com/raghavprabhakar66/gresearch-crypto-train-feather-dataset\n\nAs the train csv file takes a lot of time to load. Here is the link for train dataset converted to feather format as it reduces the loading time drastically.\nTo use:\n\n```python\ndf = pd.read_feather(file_path)\n```",
    "1570607": "Hi @raghavprabhakar66 \n\nThank you for sharing. \n\nYou might find this interesting too\n\nhttps://www.kaggle.com/c/jane-street-market-prediction/discussion/199233\nhttps://www.kaggle.com/pedrocouto39/fast-reading-w-pickle-feather-parquet-jay\nhttps://www.kaggle.com/pedrocouto39/jane-street-market-train-data-best-formats",
    "1571150": "Thanks for sharing this @faisalalsrheed. I will definately go through this and will update the dataset respectively."
  },
  "source": "meta"
}