{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   },
   "outputs": [
    {
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-9-210974036465>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0mcoins_random_walk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m         \u001b[0mcoins\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"head\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: append() takes exactly one argument (0 given)"
     ],
     "ename": "TypeError",
     "evalue": "append() takes exactly one argument (0 given)",
     "output_type": "error"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "np.random.seed(123)\n",
    "coins = []\n",
    "coins_random_walk = [0]\n",
    "for i in range(10):\n",
    "    if np.random.randint(0,2) == 0:\n",
    "        coins_random_walk.append()\n",
    "        coins.append(\"head\")\n",
    "    else:\n",
    "        coins.append(\"tail\")\n",
    "print(coins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "A = [1,2,3]\n",
    "B = A + [4,5]\n",
    "B.append(6)\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n",
     "is_executing": false
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "plt.scatter([1,2,3], [7,8,9], s=[3,60,90], c=['red','blue','green'], alpha=0.5)\n",
    "\n",
    "plt.text(10, 8.5, \"Here is some\")\n",
    "\n",
    "plt.grid(True)\n",
    "\n",
    "plt.xscale('log') \n",
    "plt.xlabel(\"X Label\")\n",
    "plt.ylabel(\"Y Label\")\n",
    "plt.title(\"Title\")\n",
    "plt.xticks([10,20,30], [\"10x\", \"20x\",\"30x\"])\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% \n",
     "is_executing": false
    }
   }
  }
 ],
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  },
  "kernelspec": {
   "name": "python3",
   "language": "python",
   "display_name": "Python 3"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "source": [
     "Simulate \n"
    ],
    "metadata": {
     "collapsed": false
    }
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}