{
  "id": 306027,
  "title": "Good by CSV & Welcome Pacquet, Pickle, Feather",
  "url": "/competitions/h-and-m-personalized-fashion-recommendations/discussion/306027",
  "author_name": "Tuan Nguyen-Sy",
  "post_date": "2022-02-07T23:31:59.827000",
  "votes": 5,
  "comment_count": 0,
  "views": 0,
  "content": "<p>This <a href=\"https://www.kaggle.com/sytuannguyen/hm2022-low-memory-fast-loading\" target=\"_blank\">dataset</a> is all you need if you prefer working with low memory/fast loading version. This is the <a href=\"https://www.kaggle.com/sytuannguyen/h-m-fast-eda-and-memory-reduction\" target=\"_blank\">notebook</a> generating this dataset with some basic EDA.</p>",
  "messages": [
    {
      "id": 1680596,
      "postDate": "2022-02-07T23:31:59.827Z",
      "content": "<p>This <a href=\"https://www.kaggle.com/sytuannguyen/hm2022-low-memory-fast-loading\" target=\"_blank\">dataset</a> is all you need if you prefer working with low memory/fast loading version. This is the <a href=\"https://www.kaggle.com/sytuannguyen/h-m-fast-eda-and-memory-reduction\" target=\"_blank\">notebook</a> generating this dataset with some basic EDA.</p>",
      "rawMarkdown": "This [dataset](https://www.kaggle.com/sytuannguyen/hm2022-low-memory-fast-loading) is all you need if you prefer working with low memory/fast loading version. This is the [notebook](https://www.kaggle.com/sytuannguyen/h-m-fast-eda-and-memory-reduction) generating this dataset with some basic EDA.",
      "votes": 4
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1680596": "This [dataset](https://www.kaggle.com/sytuannguyen/hm2022-low-memory-fast-loading) is all you need if you prefer working with low memory/fast loading version. This is the [notebook](https://www.kaggle.com/sytuannguyen/h-m-fast-eda-and-memory-reduction) generating this dataset with some basic EDA."
  }
}