think-like-a-pythonista.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Think like a Pythonista\n",
    "\n",
    "## Luciano Ramalho, principal consultant @ThoughtWorks\n",
    "## [@standupdev](https://twitter.com/standupdev) and [@ramalhoorg](https://twitter.com/ramalhoorg) on Twitter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a Jupyter Notebook. It's made of *cells* with code that can be edited and executed interactively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1606938044258990275541962092341162602522202993782792835301376"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2**200"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, for the main event..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## A class to represent a playing card"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "from collections import namedtuple\n",
    "\n",
    "Card = namedtuple('Card', 'rank suit')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Card(rank='7', suit='diamonds')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "beer_card = Card('7', 'diamonds')\n",
    "beer_card"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('7', 'diamonds')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rank, suit = beer_card\n",
    "rank, suit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'diamonds'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "beer_card.suit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'7'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "beer_card.rank"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Suits and ranks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['clubs', 'diamonds', 'spades', 'hearts']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SUITS = 'clubs diamonds spades hearts'.split()\n",
    "SUITS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['2', '3', '4', '5', '6', '7', '8', '9', '10', 'J', 'Q', 'K', 'A']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RANKS = [str(n) for n in range(2, 11)] + list('JQKA')\n",
    "RANKS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CARDS = [Card(r, s) for s in SUITS for r in RANKS]\n",
    "len(CARDS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Card(rank='2', suit='clubs'),\n",
       " Card(rank='3', suit='clubs'),\n",
       " Card(rank='4', suit='clubs'),\n",
       " Card(rank='5', suit='clubs'),\n",
       " Card(rank='6', suit='clubs'),\n",
       " Card(rank='7', suit='clubs'),\n",
       " Card(rank='8', suit='clubs'),\n",
       " Card(rank='9', suit='clubs'),\n",
       " Card(rank='10', suit='clubs'),\n",
       " Card(rank='J', suit='clubs'),\n",
       " Card(rank='Q', suit='clubs'),\n",
       " Card(rank='K', suit='clubs'),\n",
       " Card(rank='A', suit='clubs'),\n",
       " Card(rank='2', suit='diamonds'),\n",
       " Card(rank='3', suit='diamonds'),\n",
       " Card(rank='4', suit='diamonds'),\n",
       " Card(rank='5', suit='diamonds'),\n",
       " Card(rank='6', suit='diamonds'),\n",
       " Card(rank='7', suit='diamonds'),\n",
       " Card(rank='8', suit='diamonds'),\n",
       " Card(rank='9', suit='diamonds'),\n",
       " Card(rank='10', suit='diamonds'),\n",
       " Card(rank='J', suit='diamonds'),\n",
       " Card(rank='Q', suit='diamonds'),\n",
       " Card(rank='K', suit='diamonds'),\n",
       " Card(rank='A', suit='diamonds'),\n",
       " Card(rank='2', suit='spades'),\n",
       " Card(rank='3', suit='spades'),\n",
       " Card(rank='4', suit='spades'),\n",
       " Card(rank='5', suit='spades'),\n",
       " Card(rank='6', suit='spades'),\n",
       " Card(rank='7', suit='spades'),\n",
       " Card(rank='8', suit='spades'),\n",
       " Card(rank='9', suit='spades'),\n",
       " Card(rank='10', suit='spades'),\n",
       " Card(rank='J', suit='spades'),\n",
       " Card(rank='Q', suit='spades'),\n",
       " Card(rank='K', suit='spades'),\n",
       " Card(rank='A', suit='spades'),\n",
       " Card(rank='2', suit='hearts'),\n",
       " Card(rank='3', suit='hearts'),\n",
       " Card(rank='4', suit='hearts'),\n",
       " Card(rank='5', suit='hearts'),\n",
       " Card(rank='6', suit='hearts'),\n",
       " Card(rank='7', suit='hearts'),\n",
       " Card(rank='8', suit='hearts'),\n",
       " Card(rank='9', suit='hearts'),\n",
       " Card(rank='10', suit='hearts'),\n",
       " Card(rank='J', suit='hearts'),\n",
       " Card(rank='Q', suit='hearts'),\n",
       " Card(rank='K', suit='hearts'),\n",
       " Card(rank='A', suit='hearts')]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CARDS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## The Deck class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "class Deck:\n",
    "    def __init__(self):\n",
    "        self._cards = list(CARDS)\n",
    "        \n",
    "    def __len__(self):\n",
    "        return len(self._cards)\n",
    "    \n",
    "    def __getitem__(self, i):\n",
    "        return self._cards[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deck = Deck()\n",
    "len(deck)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Card(rank='2', suit='clubs')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deck[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Card(rank='A', suit='hearts')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deck[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Card(rank='2', suit='clubs'),\n",
       " Card(rank='3', suit='clubs'),\n",
       " Card(rank='4', suit='clubs'),\n",
       " Card(rank='5', suit='clubs'),\n",
       " Card(rank='6', suit='clubs')]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deck[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Iteration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Card(rank='2', suit='clubs')\n",
      "Card(rank='3', suit='clubs')\n",
      "Card(rank='4', suit='clubs')\n",
      "Card(rank='5', suit='clubs')\n",
      "Card(rank='6', suit='clubs')\n",
      "Card(rank='7', suit='clubs')\n",
      "Card(rank='8', suit='clubs')\n",
      "Card(rank='9', suit='clubs')\n",
      "Card(rank='10', suit='clubs')\n",
      "Card(rank='J', suit='clubs')\n",
      "Card(rank='Q', suit='clubs')\n",
      "Card(rank='K', suit='clubs')\n",
      "Card(rank='A', suit='clubs')\n",
      "Card(rank='2', suit='diamonds')\n",
      "Card(rank='3', suit='diamonds')\n",
      "Card(rank='4', suit='diamonds')\n",
      "Card(rank='5', suit='diamonds')\n",
      "Card(rank='6', suit='diamonds')\n",
      "Card(rank='7', suit='diamonds')\n",
      "Card(rank='8', suit='diamonds')\n",
      "Card(rank='9', suit='diamonds')\n",
      "Card(rank='10', suit='diamonds')\n",
      "Card(rank='J', suit='diamonds')\n",
      "Card(rank='Q', suit='diamonds')\n",
      "Card(rank='K', suit='diamonds')\n",
      "Card(rank='A', suit='diamonds')\n",
      "Card(rank='2', suit='spades')\n",
      "Card(rank='3', suit='spades')\n",
      "Card(rank='4', suit='spades')\n",
      "Card(rank='5', suit='spades')\n",
      "Card(rank='6', suit='spades')\n",
      "Card(rank='7', suit='spades')\n",
      "Card(rank='8', suit='spades')\n",
      "Card(rank='9', suit='spades')\n",
      "Card(rank='10', suit='spades')\n",
      "Card(rank='J', suit='spades')\n",
      "Card(rank='Q', suit='spades')\n",
      "Card(rank='K', suit='spades')\n",
      "Card(rank='A', suit='spades')\n",
      "Card(rank='2', suit='hearts')\n",
      "Card(rank='3', suit='hearts')\n",
      "Card(rank='4', suit='hearts')\n",
      "Card(rank='5', suit='hearts')\n",
      "Card(rank='6', suit='hearts')\n",
      "Card(rank='7', suit='hearts')\n",
      "Card(rank='8', suit='hearts')\n",
      "Card(rank='9', suit='hearts')\n",
      "Card(rank='10', suit='hearts')\n",
      "Card(rank='J', suit='hearts')\n",
      "Card(rank='Q', suit='hearts')\n",
      "Card(rank='K', suit='hearts')\n",
      "Card(rank='A', suit='hearts')\n"
     ]
    }
   ],
   "source": [
    "for card in deck:\n",
    "    print(card)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<iterator at 0x11090c0f0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "it = iter(deck)\n",
    "it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Card(rank='2', suit='clubs')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(it)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Sorting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "SPADES_HIGH = sorted(SUITS)\n",
    "\n",
    "def index(card):\n",
    "    \"\"\"Card position in spades high ordering\"\"\"\n",
    "    rank_value = RANKS.index(card.rank)\n",
    "    return rank_value * len(SPADES_HIGH) + SPADES_HIGH.index(card.suit)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index(Card('2', 'clubs'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "51"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index(Card('A', 'spades'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Card(rank='2', suit='clubs'),\n",
       " Card(rank='2', suit='diamonds'),\n",
       " Card(rank='2', suit='hearts'),\n",
       " Card(rank='2', suit='spades'),\n",
       " Card(rank='3', suit='clubs'),\n",
       " Card(rank='3', suit='diamonds'),\n",
       " Card(rank='3', suit='hearts'),\n",
       " Card(rank='3', suit='spades'),\n",
       " Card(rank='4', suit='clubs'),\n",
       " Card(rank='4', suit='diamonds'),\n",
       " Card(rank='4', suit='hearts'),\n",
       " Card(rank='4', suit='spades'),\n",
       " Card(rank='5', suit='clubs'),\n",
       " Card(rank='5', suit='diamonds'),\n",
       " Card(rank='5', suit='hearts'),\n",
       " Card(rank='5', suit='spades'),\n",
       " Card(rank='6', suit='clubs'),\n",
       " Card(rank='6', suit='diamonds'),\n",
       " Card(rank='6', suit='hearts'),\n",
       " Card(rank='6', suit='spades'),\n",
       " Card(rank='7', suit='clubs'),\n",
       " Card(rank='7', suit='diamonds'),\n",
       " Card(rank='7', suit='hearts'),\n",
       " Card(rank='7', suit='spades'),\n",
       " Card(rank='8', suit='clubs'),\n",
       " Card(rank='8', suit='diamonds'),\n",
       " Card(rank='8', suit='hearts'),\n",
       " Card(rank='8', suit='spades'),\n",
       " Card(rank='9', suit='clubs'),\n",
       " Card(rank='9', suit='diamonds'),\n",
       " Card(rank='9', suit='hearts'),\n",
       " Card(rank='9', suit='spades'),\n",
       " Card(rank='10', suit='clubs'),\n",
       " Card(rank='10', suit='diamonds'),\n",
       " Card(rank='10', suit='hearts'),\n",
       " Card(rank='10', suit='spades'),\n",
       " Card(rank='J', suit='clubs'),\n",
       " Card(rank='J', suit='diamonds'),\n",
       " Card(rank='J', suit='hearts'),\n",
       " Card(rank='J', suit='spades'),\n",
       " Card(rank='Q', suit='clubs'),\n",
       " Card(rank='Q', suit='diamonds'),\n",
       " Card(rank='Q', suit='hearts'),\n",
       " Card(rank='Q', suit='spades'),\n",
       " Card(rank='K', suit='clubs'),\n",
       " Card(rank='K', suit='diamonds'),\n",
       " Card(rank='K', suit='hearts'),\n",
       " Card(rank='K', suit='spades'),\n",
       " Card(rank='A', suit='clubs'),\n",
       " Card(rank='A', suit='diamonds'),\n",
       " Card(rank='A', suit='hearts'),\n",
       " Card(rank='A', suit='spades')]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(deck, key=index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Randomizing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'B'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import random\n",
    "random.choice('ABCDE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Card(rank='10', suit='clubs')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random.choice(deck)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[5, 19, 18, 10, 12, 8, 9, 14, 13, 11, 6, 16, 3, 1, 15, 17, 2, 4, 7, 0]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l = list(range(20))\n",
    "random.shuffle(l)\n",
    "l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TypeError(\"'Deck' object does not support item assignment\",)\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    random.shuffle(deck)\n",
    "except TypeError as e:\n",
    "    print(repr(e))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Monkey-patching Deck to support item assignment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def put(deck, position, card):\n",
    "    deck._cards[position] = card\n",
    "        \n",
    "Deck.__setitem__ = put"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Card(rank='8', suit='hearts'),\n",
       " Card(rank='10', suit='diamonds'),\n",
       " Card(rank='K', suit='spades'),\n",
       " Card(rank='3', suit='diamonds'),\n",
       " Card(rank='J', suit='spades')]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random.shuffle(deck)\n",
    "deck[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Bonus: operator overloading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from itertools import chain\n",
    "\n",
    "class Deck:\n",
    "    def __init__(self, cards=CARDS):\n",
    "        self._cards = list(cards)\n",
    "        \n",
    "    def __len__(self):\n",
    "        return len(self._cards)\n",
    "    \n",
    "    def __getitem__(self, i):\n",
    "        if isinstance(i, slice):\n",
    "            return Deck(self._cards[i])\n",
    "        return self._cards[i]\n",
    "    \n",
    "    def __setitem__(self, i, card):\n",
    "        self._cards[i] = card\n",
    "        \n",
    "    def __add__(self, other):\n",
    "        return Deck(chain(self._cards, other))\n",
    "    \n",
    "    def deal(self, num_players):\n",
    "        return [self[i::num_players] for i in range(num_players)]\n",
    "                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#chain?\n",
    "deck = Deck()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<__main__.Deck at 0x1109032b0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top5 = deck[:5]\n",
    "top5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Card(rank='2', suit='clubs')\n",
      "Card(rank='3', suit='clubs')\n",
      "Card(rank='4', suit='clubs')\n",
      "Card(rank='5', suit='clubs')\n",
      "Card(rank='6', suit='clubs')\n"
     ]
    }
   ],
   "source": [
    "for card in top5:\n",
    "    print(card)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Card(rank='10', suit='hearts')\n",
      "Card(rank='J', suit='hearts')\n",
      "Card(rank='Q', suit='hearts')\n",
      "Card(rank='K', suit='hearts')\n",
      "Card(rank='A', suit='hearts')\n"
     ]
    }
   ],
   "source": [
    "bottom5 = deck[-5:]\n",
    "for card in bottom5:\n",
    "    print(card)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<__main__.Deck at 0x1109912e8>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top5 + bottom5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Card(rank='2', suit='clubs')\n",
      "Card(rank='3', suit='clubs')\n",
      "Card(rank='4', suit='clubs')\n",
      "Card(rank='5', suit='clubs')\n",
      "Card(rank='6', suit='clubs')\n",
      "Card(rank='10', suit='hearts')\n",
      "Card(rank='J', suit='hearts')\n",
      "Card(rank='Q', suit='hearts')\n",
      "Card(rank='K', suit='hearts')\n",
      "Card(rank='A', suit='hearts')\n"
     ]
    }
   ],
   "source": [
    "for card in top5 + bottom5:\n",
    "    print(card)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "random.shuffle(deck)\n",
    "a, b, c, d = deck.deal(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13, 13)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(a), len(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Card(rank='7', suit='hearts')\n",
      "Card(rank='A', suit='diamonds')\n",
      "Card(rank='3', suit='spades')\n",
      "Card(rank='J', suit='spades')\n",
      "Card(rank='4', suit='hearts')\n",
      "Card(rank='Q', suit='diamonds')\n",
      "Card(rank='8', suit='clubs')\n",
      "Card(rank='2', suit='hearts')\n",
      "Card(rank='3', suit='hearts')\n",
      "Card(rank='9', suit='diamonds')\n",
      "Card(rank='5', suit='spades')\n",
      "Card(rank='K', suit='clubs')\n",
      "Card(rank='2', suit='diamonds')\n"
     ]
    }
   ],
   "source": [
    "for card in c:\n",
    "    print(card)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## And now, for something completely different..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The beauty of operator overloading for analytics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEKCAYAAAD9xUlFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110984128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "v0 = 5\n",
    "g = 9.81\n",
    "t = np.linspace(0, 1, 1001)\n",
    "\n",
    "y = v0 * t - g * t**2 / 2\n",
    "\n",
    "plt.plot(t, y)\n",
    "plt.xlabel('t (s)')\n",
    "plt.ylabel('y (m)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Thank you PyBay for inviting me!"
   ]
  }
 ],
 "metadata": {
  "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}