{
  "id": 57605,
  "title": "New Uer",
  "url": "/competitions/avito-demand-prediction/discussion/57605",
  "author_name": "",
  "post_date": "2018-05-25T23:07:58.380966Z",
  "votes": null,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Is it possible to make use of the data here without actually downloading it on the local machine? If possible, can I know how.</p>",
  "messages": [
    {
      "id": "333854",
      "postDate": "05/25/2018 23:07:58",
      "content": "<p>Is it possible to make use of the data here without actually downloading it on the local machine? If possible, can I know how.</p>",
      "rawMarkdown": "Is it possible to make use of the data here without actually downloading it on the local machine? If possible, can I know how.",
      "votes": null
    },
    {
      "id": "333866",
      "postDate": "05/25/2018 23:43:05",
      "content": "<ol>\n<li>Click kernels tab.<br>2. Then click New kernel.<br>3. Select notebook or script.<br>Then you can use this competition dataset or add any data source you like.</li>\n</ol>",
      "rawMarkdown": "1. Click kernels tab.<br>2. Then click New kernel.<br>3. Select notebook or script.<br>Then you can use this competition dataset or add any data source you like.",
      "votes": null
    },
    {
      "id": "333928",
      "postDate": "05/26/2018 03:53:27",
      "content": "<p>I also use the free gpu power of <a href=\"https://colab.research.google.com/\">https://colab.research.google.com/</a> together with the kaggle API (dokumentation can be found under <a href=\"https://github.com/Kaggle/kaggle-api\">https://github.com/Kaggle/kaggle-api</a>.</p>",
      "rawMarkdown": "I also use the free gpu power of [https://colab.research.google.com/][1] together with the kaggle API (dokumentation can be found under [https://github.com/Kaggle/kaggle-api][2].\n\n\n  [1]: https://colab.research.google.com/\n  [2]: https://github.com/Kaggle/kaggle-api",
      "votes": null
    },
    {
      "id": "335492",
      "postDate": "05/29/2018 20:13:56",
      "content": "<p>How Can I make the kernel public?</p>",
      "rawMarkdown": "How Can I make the kernel public?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 333866,
      "author_name": "sohaibomar",
      "author_url": "",
      "post_date": "05/25/2018 23:43:05",
      "content": "<ol>\n<li>Click kernels tab.<br>2. Then click New kernel.<br>3. Select notebook or script.<br>Then you can use this competition dataset or add any data source you like.</li>\n</ol>",
      "votes": null,
      "replies": []
    },
    {
      "id": 333928,
      "author_name": "christofhenkel",
      "author_url": "",
      "post_date": "05/26/2018 03:53:27",
      "content": "<p>I also use the free gpu power of <a href=\"https://colab.research.google.com/\">https://colab.research.google.com/</a> together with the kaggle API (dokumentation can be found under <a href=\"https://github.com/Kaggle/kaggle-api\">https://github.com/Kaggle/kaggle-api</a>.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 335492,
      "author_name": "deveid",
      "author_url": "",
      "post_date": "05/29/2018 20:13:56",
      "content": "<p>How Can I make the kernel public?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "333854": "Is it possible to make use of the data here without actually downloading it on the local machine? If possible, can I know how.",
    "333866": "1. Click kernels tab.<br>2. Then click New kernel.<br>3. Select notebook or script.<br>Then you can use this competition dataset or add any data source you like.",
    "333928": "I also use the free gpu power of [https://colab.research.google.com/][1] together with the kaggle API (dokumentation can be found under [https://github.com/Kaggle/kaggle-api][2].\n\n\n  [1]: https://colab.research.google.com/\n  [2]: https://github.com/Kaggle/kaggle-api",
    "335492": "How Can I make the kernel public?"
  },
  "source": "meta"
}