{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext nbtutor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%nbtutor -r -f -d 5\n",
    "class Foo(object):\n",
    "    a = 10\n",
    "    def __init__(self, b):\n",
    "        self.b = b\n",
    "    \n",
    "    def dostuff(self, x):\n",
    "        self.b += x\n",
    "        return self.b\n",
    "\n",
    "foo = Foo(10)\n",
    "ans = foo.dostuff(100)\n",
    "print(ans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%nbtutor -r -f\n",
    "import math\n",
    "\n",
    "def fubar(eggs, spam):\n",
    "    foo = eggs * spam\n",
    "    return foo\n",
    "\n",
    "bar = fubar(0.1, 103)\n",
    "print(bar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%nbtutor -r -f -d 5\n",
    "def fib(n):\n",
    "    a, b = 1, 1\n",
    "    for i in range(n):\n",
    "        yield a\n",
    "        a, b = b, a+b\n",
    "\n",
    "ans = list(fib(5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%nbtutor -r -f -d 15\n",
    "def fib(n):\n",
    "    if n <= 2:\n",
    "        return [1] * n\n",
    "    prev = fib(n-1)\n",
    "    return prev + [prev[-2] + prev[-1]]\n",
    "\n",
    "ans = fib(5)\n",
    "print(ans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%nbtutor -r -f -d 15\n",
    "a = {'foo': 100}\n",
    "keys, values = zip(*a.items())\n",
    "print(list(keys), list(values))\n",
    "\n",
    "for i in a:\n",
    "    print(i)\n",
    "\n",
    "items = sorted(a.items(), key=lambda x: x[0])\n",
    "keys, values = zip(*items)\n",
    "print(list(keys), list(values))"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "celltoolbar": "Visualize",
  "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": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}