Voila 0.2.16 on Binder

README.md

Voila 0.2.16 on Binder

Try it on Binder!

Voilà	JupyterLab

basics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# So easy, *voilà*!\n",
    "\n",
    "In this example notebook, we demonstrate how Voilà 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": {},
   "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": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}

bqplot.ipynb

requirements.txt

bqplot
ipywidgets~=7.6
jupyterlab==3.1.13
matplotlib
pandas
voila==0.2.16