{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Note: we're not using this example yet, we should add it as an example in the README.md*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "\n",
    "from IPython.display import HTML, display, Markdown, JSON, Image, Latex\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"some message\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"sending something to standard error\", file=sys.stderr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot([1, 1, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({\"x\": [1, 2, 3]})\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "display(df)\n",
    "df.x.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "html = HTML(\n",
    "    'this is some HTML: <a href=\"https://ploomber.io/community\">join our community!</a>'\n",
    ")\n",
    "display(html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "display(Markdown(\"**this is some markdown**\"))\n",
    "display(JSON(data=dict(this=\"is\", some=\"json\", data=\"\")))\n",
    "Latex(\"this is some latex: $ x = 1$\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"showing our logo :)\")\n",
    "Image(url=\"https://raw.githubusercontent.com/ploomber/ploomber/master/_static/logo.png\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ploomber-engine",
   "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": "3.10.8"
  },
  "vscode": {
   "interpreter": {
    "hash": "e9a38feee8a35967525e7836479294423cd64a17f54b24e1486f61aab3949499"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}