{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [Dashboarding with widgets](08.00-voila.ipynb) | [Contents](00.00-index.ipynb) | [Deploying voilà](08.02-voila-vuetify.ipynb) >"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# So easy, *voilà*!\n",
    "\n",
    "In this example notebook, we demonstrate how voila can render Jupyter notebooks with interactions requiring a roundtrip to the kernel."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Jupyter Widgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "slider = widgets.FloatSlider(description='x', value=4)\n",
    "text = widgets.FloatText(disabled=True, description='$x^2$')\n",
    "\n",
    "def compute(*ignore):\n",
    "    text.value = str(slider.value ** 2)\n",
    "\n",
    "slider.observe(compute, 'value')\n",
    "\n",
    "widgets.VBox([slider, text])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic outputs of code cells"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "skip"
    ]
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "iris = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')\n",
    "iris"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [Dashboarding with widgets](08.00-voila.ipynb) | [Contents](00.00-index.ipynb) | [Deploying voilà](08.02-voila-vuetify.ipynb) >"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "widgets-tutorial",
   "language": "python",
   "name": "widgets-tutorial"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}