NBA_hw1_Arbel.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import numpy as np\n",
    "from datetime import datetime, timedelta\n",
    "from pprint import pprint\n",
    "import requests\n",
    "\n",
    "from scoreboard import Scoreboard\n",
    "from nba_util import _api_scrape\n",
    "from nba_util import get_all_player_ids"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# shortcuts:\n",
    "shift+Enter -> run cell + skip to next cell  \n",
    "ctrl+Enter -> run cell (no skip)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# List"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# list definition:\n",
    "list_name = [12, 23, 's', 'Egozi', 3.14]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "צור רשימה עם 10 איברים"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "A=['arbel','bnana','piza','no','aviv','adva',444,'A','egozi',9999999999]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9999999999L"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A[9]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "מהרשימה שיצרת ,צור רשימה חדשה שמכילה כל איבר שני מהרשימה הראשונה:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "W=[A[1],A[3],A[5],A[7],A[9]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['bnana', 'no', 'adva', 'A', 9999999999L]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "W"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "צור רשימה שלישית שמכילה כל איבר שלישי מהרשימה הראשונה, מסודרים מהסוף להתחלה"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Q=[A[9],A[6],A[3],A[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[9999999999L, 444, 'no', 'arbel']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dictionary\n",
    "\n",
    "*Unordered* list of key:value pairs  \n",
    "if d is a dictionary:  \n",
    "list(d.keys()) -> list of all keys  \n",
    "list(d.values()) -> list of all values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# dict definition:\n",
    "dict_name = {'Sunday': 1, 'Monday': 2, 'July': 26}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "צור מילון עם חמישה איברים"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "arbel ={'avivi':454,'adva':876,'shasha':294,'fjl':511,'babana':6980}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "keys = arbel.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "keys = sorted(keys)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['adva', 'avivi', 'babana', 'fjl', 'shasha']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "876\n"
     ]
    }
   ],
   "source": [
    "print arbel[keys[0]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "294\n"
     ]
    }
   ],
   "source": [
    "print arbel[keys[i]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "294\n",
      "511\n",
      "6980\n",
      "454\n",
      "876\n"
     ]
    }
   ],
   "source": [
    "for i in range(5):\n",
    "    \n",
    "    print arbel[keys[4-i]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ahiya=arbel.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[454, 6980, 294, 876, 511]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arbel.values()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "\n",
    "print ahiya"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "הדפס את המילון על פי סדר האלף בית של המפתחות:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# code here (use print())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# NBA "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sb = Scoreboard(offset=-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "מה הפעולות של האובייקט?    \n",
    "איזה אינפורמציה מכיל האובייקט?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "scores = sb.line_score()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "  מה מכיל \n",
    "scores  \n",
    "?  \n",
    "איך הוא מסודר?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# משימה:  \n",
    "המטרה לייצר מהנתונים רשימה של התוצאות של המשחקים מתוך  \n",
    "scores.  \n",
    "הרשימה צריכה להכיל מילון לכל משחק מהצורה:  \n",
    "[..., {team1: score1, team2: score2}, ...]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FOR and IF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "for i in range(5):\n",
    "    print i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "a = list(np.random.randint(50, size=10))\n",
    "# print a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "# find minimum value\n",
    "min_value = 9999\n",
    "for i in range(len(a)):\n",
    "    if a[i] < min_value: \n",
    "        min_value = a[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimum value = 0\n",
      "[21, 21, 47, 7, 8, 49, 45, 18, 17, 12, 27, 46, 23, 2, 34, 22, 40, 33, 2, 36, 21, 31, 15, 44, 35, 1, 27, 7, 31, 42, 25, 24, 1, 40, 13, 18, 0, 5, 0, 4, 48, 38, 41, 15, 28, 38, 33, 14, 3, 44]\n"
     ]
    }
   ],
   "source": [
    "print 'Minimum value = ' + str(min_value)\n",
    "print a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = 23\n",
    "b = 18"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c = a\n",
    "a = b\n",
    "b = c\n",
    "\n",
    "# c = a + b\n",
    "# b = c - b\n",
    "# a = c - a\n",
    "\n",
    "\n",
    "\n",
    "# a = b\n",
    "# b = a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "18\n",
      "23\n"
     ]
    }
   ],
   "source": [
    "print a\n",
    "print b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "47 49\n",
      "49 0\n",
      "0 40\n",
      "40 32\n",
      "32 31\n",
      "31 31\n",
      "31 19\n",
      "19 11\n",
      "11 30\n"
     ]
    }
   ],
   "source": [
    "[=]\n",
    "a\n",
    "n = len(a)\n",
    "for i in range(len(a) - 1):\n",
    "    print a[i], a[i+1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[47, 49, 0, 40, 32, 31, 31, 19, 11, 30]"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "a"
   ]
  }
 ],
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