Voila 0.4.0 on Binder

README.md

Voila 0.4.0 on Binder

Try it on Binder!

Voilà	JupyterLab

basics.ipynb

bqplot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# So easy, *voilà*!\n",
    "\n",
    "In this example notebook, we demonstrate how Voilà can render custom Jupyter widgets such as [bqplot](https://github.com/bloomberg/bqplot). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from bqplot import pyplot as plt\n",
    "\n",
    "plt.figure(1, title='Line Chart')\n",
    "np.random.seed(0)\n",
    "n = 200\n",
    "x = np.linspace(0.0, 10.0, n)\n",
    "y = np.cumsum(np.random.randn(n))\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

requirements.txt

bqplot
ipywidgets~=8.0
jupyterlab~=3.5.3
matplotlib
nbconvert>=7
pandas
voila==0.4.0