{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating an IPython Notebook programatically\n",
    "\n",
    "The `nbformat` package gives us the necessary tools to create a new Jupyter Notebook without having to know the specifics of the file format, JSON schema, etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import nbformat as nbf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we create a new notebook object, that we can then populate with cells, metadata, etc:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "nb = nbf.v4.new_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our simple text notebook will only have a text cell and a code cell:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "text = \"\"\"\\\n",
    "# My first automatic Jupyter Notebook\n",
    "This is an auto-generated notebook.\"\"\"\n",
    "\n",
    "code = \"\"\"\\\n",
    "%pylab inline\n",
    "hist(normal(size=2000), bins=50);\"\"\"\n",
    "\n",
    "nb['cells'] = [nbf.v4.new_markdown_cell(text),\n",
    "               nbf.v4.new_code_cell(code) ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we write it to a file on disk that we can then open as a new notebook:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "nbf.write(nb, 'test.ipynb')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook can be run at the command line with:\n",
    "\n",
    "    jupyter nbconvert --execute --inplace test.ipynb\n",
    "\n",
    "Or you can open it [as a live notebook](test.ipynb)."
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernel_info": {
   "name": "python3"
  },
  "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}