Lab - Take the Python Challenge.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "print(3**5)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "s = 'This course is amazing!'\n",
    "s.split()"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "mountain = 'Mt. Everest'\n",
    "height = 8848\n",
    "print(f'The height of {mountain} is {height} meters')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "lst = ['a','b',[4,10,11],['c',[1,66,['this']],2,111],'e',7]\n",
    "lst[3][1][2][0]"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "d = {'k1':['val1','val2','val3',{'we':['need','to','go',{'deeper':[1,2,3,'that']}]}]}\n",
    "d['k1'][3]['we'][3]['deeper'][3]"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Tuple é uma váriavel indexável, assim como uma list, porém é imutável."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "def GetDomain(s: str):\n",
    "    r = s[len(s) - s[::-1].index('@'):]\n",
    "    return[r]"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "GetDomain('user@domain.com')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "def findInternet(s: str):\n",
    "    return True if 'internet' in s.lower() else False"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "findInternet('The Internet Engineering Task Force was created in 1986')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "def countIoT(s: str ):\n",
    "    i, c = 0, 0\n",
    "    r = 'IoT'\n",
    "    while i < len(s) - len(r):\n",
    "        if s[i: i + len(r)].lower() == r.lower():\n",
    "            c += 1\n",
    "            i += len(r)\n",
    "        else:\n",
    "            i += 1\n",
    "    return c"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "countIoT('I don\\'t know how to spell IoT ! Is it IoT or iot ? What does iot mean anyway?')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "MyFilter = lambda x: True if x[0].lower() == 'd' else False"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "seq = ['data','salt' ,'dairy','cat', 'dog']\n",
    "list(filter(MyFilter, seq))"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "MyAdjust = lambda x: str(x.upper())"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "list(map(MyAdjust, seq))"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "def smart_thermostat(temp: float, people_in: bool):\n",
    "    if people_in and temp < 20:\n",
    "        return 'Heating on'\n",
    "    elif people_in is False or temp >= 23:\n",
    "        return 'Heating off'\n",
    "    else:\n",
    "        return 'Do nothing'"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "smart_thermostat(21,True)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "smart_thermostat(21,False)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "floor_types = ['Parking', 'Shops', 'Food Court', 'Offices']\n",
    "floor_numbers = range(-1, 3)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "list(zip(floor_types, floor_numbers))"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "elevator_dict = dict(zip(floor_numbers, floor_types))"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "elevator_dict[-1]"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "class Elevator():\n",
    "    def __init__(self, floor_numbers, floor_types):\n",
    "        self.floor_numbers = floor_numbers\n",
    "        self.floor_types = floor_types\n",
    "        self.numberTotype = dict(zip(floor_numbers, floor_types))\n",
    "        self.typeTonumber = dict(zip(floor_types, floor_numbers))\n",
    "\n",
    "    def ask_which_floor(self, floorType):\n",
    "        if floorType in self.floor_types:\n",
    "            print(f'The {floorType} floor is the number: {self.typeTonumber[floorType]}.')\n",
    "        else:\n",
    "            print(f'There is no {floorType} floor in this building.')\n",
    "\n",
    "    def go_to_floor(self, floorNumber):\n",
    "        if floorNumber in self.floor_numbers:\n",
    "            print(f'Going to {self.numberTotype[floorNumber]} floor!')\n",
    "        else:\n",
    "            print(f'There\\'s no floor number {floorNumber} in this building')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "el = Elevator(floor_numbers, floor_types)\n",
    "el.go_to_floor(1)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "el.go_to_floor(-2)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "el.ask_which_floor('Offices')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "el.ask_which_floor('Swimming Pool')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  }
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