{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "execution": {},
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/tutorials/W2D1_ModelingPractice/W2D1_DaySummary.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a> &nbsp; <a href=\"https://kaggle.com/kernels/welcome?src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/tutorials/W2D1_ModelingPractice/W2D1_DaySummary.ipynb\" target=\"_parent\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open in Kaggle\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {},
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Day Summary\n",
    "\n",
    "__Creator: John Butler__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# @title Install and import feedback gadget\n",
    "\n",
    "!pip3 install vibecheck datatops --quiet\n",
    "\n",
    "from vibecheck import DatatopsContentReviewContainer\n",
    "def content_review(notebook_section: str):\n",
    "    return DatatopsContentReviewContainer(\n",
    "        \"\",  # No text prompt\n",
    "        notebook_section,\n",
    "        {\n",
    "            \"url\": \"https://pmyvdlilci.execute-api.us-east-1.amazonaws.com/klab\",\n",
    "            \"name\": \"neuromatch_cn\",\n",
    "            \"user_key\": \"y1x3mpx5\",\n",
    "        },\n",
    "    ).render()\n",
    "\n",
    "\n",
    "feedback_prefix = \"W2D1_DaySummary\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {},
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# @title Slides\n",
    "from IPython.display import IFrame\n",
    "link_id = \"3j2cn\"\n",
    "print(f\"If you want to download the slides: https://osf.io/download/{link_id}/\")\n",
    "IFrame(src=f\"https://mfr.ca-1.osf.io/render?url=https://osf.io/{link_id}/?direct%26mode=render%26action=download%26mode=render\", width=854, height=480)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# @title Submit your feedback\n",
    "content_review(f\"{feedback_prefix}_Day_Summary\")"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "include_colab_link": true,
   "name": "W2D1_DaySummary",
   "provenance": [],
   "toc_visible": true
  },
  "kernel": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}