combine_ipynb.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import json\n",
    "from copy import deepcopy\n",
    "file_names = ['intro.ipynb',\n",
    "              'mnist/mnist_pytorch.ipynb', \n",
    "              'co2_regression/co2_regression_pytorch.ipynb']\n",
    "file_name = file_names[0]\n",
    "\n",
    "with open(file_names[0], 'r') as f:\n",
    "    merged = deepcopy(json.load(f))\n",
    "    \n",
    "for file_name in file_names[1:]:\n",
    "    with open(file_name, 'r') as f:\n",
    "        merged['cells'] = merged['cells'] + json.load(f)['cells']\n",
    "\n",
    "with open('index_raw.ipynb', 'w') as f:\n",
    "    json.dump(merged, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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