{
  "id": 55877,
  "title": "Newbie Clumsiness",
  "url": "/competitions/trackml-particle-identification/discussion/55877",
  "author_name": "",
  "post_date": "2018-05-02T17:49:36.501609Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I'm new to Data Science and Kaggle, but still want to be able to snoop around a bit and learn.  I clicked on the \"download\" for the zip file, but want to understand my responsibilities since I am nowhere near qualified to compete but want to peruse.</p>",
  "messages": [
    {
      "id": "322294",
      "postDate": "05/02/2018 17:49:36",
      "content": "<p>I'm new to Data Science and Kaggle, but still want to be able to snoop around a bit and learn.  I clicked on the \"download\" for the zip file, but want to understand my responsibilities since I am nowhere near qualified to compete but want to peruse.</p>",
      "rawMarkdown": "I'm new to Data Science and Kaggle, but still want to be able to snoop around a bit and learn.  I clicked on the \"download\" for the zip file, but want to understand my responsibilities since I am nowhere near qualified to compete but want to peruse.",
      "votes": null
    },
    {
      "id": "323864",
      "postDate": "05/06/2018 12:48:25",
      "content": "<p>Hi @Liz, welcome to Data Science! <a href=\"https://www.kaggle.com/learn/overview\">Kaggle Learn</a> is a great place to learn the basics.</p>",
      "rawMarkdown": "Hi @Liz, welcome to Data Science! [Kaggle Learn][1] is a great place to learn the basics.\n\n\n  [1]: https://www.kaggle.com/learn/overview",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 323864,
      "author_name": "kishupro",
      "author_url": "",
      "post_date": "05/06/2018 12:48:25",
      "content": "<p>Hi @Liz, welcome to Data Science! <a href=\"https://www.kaggle.com/learn/overview\">Kaggle Learn</a> is a great place to learn the basics.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "322294": "I'm new to Data Science and Kaggle, but still want to be able to snoop around a bit and learn.  I clicked on the \"download\" for the zip file, but want to understand my responsibilities since I am nowhere near qualified to compete but want to peruse.",
    "323864": "Hi @Liz, welcome to Data Science! [Kaggle Learn][1] is a great place to learn the basics.\n\n\n  [1]: https://www.kaggle.com/learn/overview"
  },
  "source": "meta"
}