{
  "id": 285902,
  "title": "How could I install ",
  "url": "/competitions/g-research-crypto-forecasting/discussion/285902",
  "author_name": "",
  "post_date": "2021-11-06T21:30:21.155151300Z",
  "votes": 4,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hello everybody,</p>\n<p>I'm trying to work locally on the data, but I can't find a way to install the module <em>gresearch_crypto</em>. I use Pycharm in mac, and when I run the command <em>import gresearch_crypto</em> I get the error</p>\n<p>ModuleNotFoundError: No module named 'gresearch_crypto.competition'</p>\n<p>Is there a way to install the module on my computer or do I need to work in Kaggle's kernel to use it? Do I need a particular version of python to run it?</p>\n<p>Thanks!</p>",
  "messages": [
    {
      "id": "1573740",
      "postDate": "11/06/2021 21:30:21",
      "content": "<p>Hello everybody,</p>\n<p>I'm trying to work locally on the data, but I can't find a way to install the module <em>gresearch_crypto</em>. I use Pycharm in mac, and when I run the command <em>import gresearch_crypto</em> I get the error</p>\n<p>ModuleNotFoundError: No module named 'gresearch_crypto.competition'</p>\n<p>Is there a way to install the module on my computer or do I need to work in Kaggle's kernel to use it? Do I need a particular version of python to run it?</p>\n<p>Thanks!</p>",
      "rawMarkdown": "Hello everybody,\n\nI'm trying to work locally on the data, but I can't find a way to install the module *gresearch_crypto*. I use Pycharm in mac, and when I run the command *import gresearch_crypto* I get the error\n\nModuleNotFoundError: No module named 'gresearch_crypto.competition'\n\nIs there a way to install the module on my computer or do I need to work in Kaggle's kernel to use it? Do I need a particular version of python to run it?\n\nThanks!",
      "votes": null
    },
    {
      "id": "1574467",
      "postDate": "11/07/2021 15:28:49",
      "content": "<p>As stated on the <a href=\"https://www.kaggle.com/c/g-research-crypto-forecasting/data\" target=\"_blank\">data page</a>, the provided module needs Linux (and probably Python 3.7) to run. </p>\n<p>It should be possible to run it within a docker container (PyCharm—at least the Professional edition—makes it pretty easy to set up a python interpeter in docker and use it as if it was a ”normal” one, this way you can even get the exact same packages as in Kaggle notebooks, see <a href=\"https://github.com/Kaggle/docker-python\" target=\"_blank\">this</a>). </p>\n<p>(Personally, I think I’ll stick to set up training and CV locally, and only use the API on Kaggle for submissions.)</p>",
      "rawMarkdown": "As stated on the [data page](https://www.kaggle.com/c/g-research-crypto-forecasting/data), the provided module needs Linux (and probably Python 3.7) to run. \n\nIt should be possible to run it within a docker container (PyCharm—at least the Professional edition—makes it pretty easy to set up a python interpeter in docker and use it as if it was a ”normal” one, this way you can even get the exact same packages as in Kaggle notebooks, see [this](https://github.com/Kaggle/docker-python)). \n\n(Personally, I think I’ll stick to set up training and CV locally, and only use the API on Kaggle for submissions.)",
      "votes": null
    },
    {
      "id": "1575942",
      "postDate": "11/08/2021 18:35:05",
      "content": "<p>Thank you <a href=\"https://www.kaggle.com/christoffer\" target=\"_blank\">@christoffer</a> I will follow your advice and first try just CV locally and leave the things about the API to the Kaggle Kernel. Appreciated! </p>",
      "rawMarkdown": "Thank you @christoffer I will follow your advice and first try just CV locally and leave the things about the API to the Kaggle Kernel. Appreciated!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1574467,
      "author_name": "christoffer",
      "author_url": "",
      "post_date": "11/07/2021 15:28:49",
      "content": "<p>As stated on the <a href=\"https://www.kaggle.com/c/g-research-crypto-forecasting/data\" target=\"_blank\">data page</a>, the provided module needs Linux (and probably Python 3.7) to run. </p>\n<p>It should be possible to run it within a docker container (PyCharm—at least the Professional edition—makes it pretty easy to set up a python interpeter in docker and use it as if it was a ”normal” one, this way you can even get the exact same packages as in Kaggle notebooks, see <a href=\"https://github.com/Kaggle/docker-python\" target=\"_blank\">this</a>). </p>\n<p>(Personally, I think I’ll stick to set up training and CV locally, and only use the API on Kaggle for submissions.)</p>",
      "votes": null,
      "replies": [
        {
          "id": 1575942,
          "author_name": "arrigo",
          "author_url": "",
          "post_date": "11/08/2021 18:35:05",
          "content": "<p>Thank you <a href=\"https://www.kaggle.com/christoffer\" target=\"_blank\">@christoffer</a> I will follow your advice and first try just CV locally and leave the things about the API to the Kaggle Kernel. Appreciated! </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1573740": "Hello everybody,\n\nI'm trying to work locally on the data, but I can't find a way to install the module *gresearch_crypto*. I use Pycharm in mac, and when I run the command *import gresearch_crypto* I get the error\n\nModuleNotFoundError: No module named 'gresearch_crypto.competition'\n\nIs there a way to install the module on my computer or do I need to work in Kaggle's kernel to use it? Do I need a particular version of python to run it?\n\nThanks!",
    "1574467": "As stated on the [data page](https://www.kaggle.com/c/g-research-crypto-forecasting/data), the provided module needs Linux (and probably Python 3.7) to run. \n\nIt should be possible to run it within a docker container (PyCharm—at least the Professional edition—makes it pretty easy to set up a python interpeter in docker and use it as if it was a ”normal” one, this way you can even get the exact same packages as in Kaggle notebooks, see [this](https://github.com/Kaggle/docker-python)). \n\n(Personally, I think I’ll stick to set up training and CV locally, and only use the API on Kaggle for submissions.)",
    "1575942": "Thank you @christoffer I will follow your advice and first try just CV locally and leave the things about the API to the Kaggle Kernel. Appreciated!"
  },
  "source": "meta"
}