@jupyterlab/notebook/src/default.json

JupyterLab - Notebook

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "tags": []
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": ["hello world\n", "0\n", "1\n", "2\n"]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": ["output to stderr\n"]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": ["some more stdout text\n"]
        }
      ],
      "source": [
        "import sys\n",
        "sys.stdout.write('hello world\\n')\n",
        "sys.stdout.flush()\n",
        "for i in range(3):\n",
        "    sys.stdout.write('%s\\n' % i)\n",
        "    sys.stdout.flush()\n",
        "sys.stderr.write('output to stderr\\n')\n",
        "sys.stderr.flush()\n",
        "sys.stdout.write('some more stdout text\\n')\n",
        "sys.stdout.flush()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": []
      },
      "source": [
        "# Markdown Cell\n",
        "\n",
        "$ e^{ \\pm i\\theta } = \\cos \\theta \\pm i\\sin \\theta + \\beta $\n",
        "\n",
        "*It* **really** is!"
      ]
    },
    {
      "cell_type": "raw",
      "metadata": {
        "tags": []
      },
      "source": ["Raw Cell\n", "\n", "Second line"]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "tags": []
      },
      "outputs": [
        {
          "ename": "SyntaxError",
          "evalue": "invalid syntax (<ipython-input-2-6c5185427360>, line 1)",
          "output_type": "error",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-2-6c5185427360>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    this is a syntax error\u001b[0m\n\u001b[0m                   ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
          ]
        }
      ],
      "source": ["this is a syntax error"]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": []
      },
      "outputs": [],
      "source": ["print('test')"]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "text/latex": [
              "The mass-energy equivalence is described by the famous equation\n",
              " \n",
              "$$E=mc^2$$\n",
              " \n",
              "discovered in 1905 by Albert Einstein. \n",
              "In natural units ($c$ = 1), the formula expresses the identity\n",
              " \n",
              "\\begin{equation}\n",
              "E=m\n",
              "\\end{equation}"
            ],
            "text/plain": ["<IPython.core.display.Latex object>"]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from IPython.display import Latex\n",
        "Latex('''The mass-energy equivalence is described by the famous equation\n",
        " \n",
        "$$E=mc^2$$\n",
        " \n",
        "discovered in 1905 by Albert Einstein. \n",
        "In natural units ($c$ = 1), the formula expresses the identity\n",
        " \n",
        "\\\\begin{equation}\n",
        "E=m\n",
        "\\\\end{equation}''')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "anaconda-cloud": {},
    "kernelspec": {
      "display_name": "Python [default]",
      "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": "3.5.2"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 1
}