w2d4_June13_SummaryActivity_Ethan.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5TSRRVgrPMiN"
   },
   "source": [
    "# Week 2 Summary Activity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xRRivfQIPVvP"
   },
   "source": [
    "## Problem 1 - Dictionaries\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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    "id": "37qHxmKDPBkP"
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   "outputs": [],
   "source": [
    "student_dictionary = { 101 : {'Name': 'George Bluth',\n",
    "                              'AverageScore': 85,\n",
    "                               'Year' : 2,\n",
    "                              'Class' : 'INFO1201'\n",
    "                              },\n",
    "                     102 : {'Name': 'Lucille Bluth',\n",
    "                              'AverageScore': 100,\n",
    "                               'Year' : 3,\n",
    "                              'Class' : 'INFO1201'\n",
    "                              },\n",
    "                     103 : {'Name': 'George Michael Bluth',\n",
    "                              'AverageScore': 98,\n",
    "                               'Year' : 1,\n",
    "                              'Class' : 'INFO1101'\n",
    "                              },\n",
    "                     104 : {'Name': 'Michael Bluth',\n",
    "                              'AverageScore': 90,\n",
    "                               'Year' : 5,\n",
    "                              'Class' : 'INFO2201'\n",
    "                              },\n",
    "                     105 : {'Name': 'Gob Bluth',\n",
    "                              'AverageScore': 40,\n",
    "                               'Year' : 8,\n",
    "                              'Class' : 'INFO1101'\n",
    "                              },\n",
    "                     106 : {'Name': 'Lindsay Bluth',\n",
    "                              'AverageScore': 70,\n",
    "                               'Year' : 4,\n",
    "                              'Class' : 'INFO1201'\n",
    "                              },\n",
    "                     107 : {'Name': 'Buster Bluth',\n",
    "                              'AverageScore': 95,\n",
    "                               'Year' : 2,\n",
    "                              'Class' : 'INFO1201'\n",
    "                              },\n",
    "                     108 : {'Name': 'Sally Sitwell',\n",
    "                              'AverageScore': 93,\n",
    "                               'Year' : 2,\n",
    "                              'Class' : 'INFO1201'\n",
    "                              }}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_6rz2SNfQvHy"
   },
   "source": [
    "#### Question 1:\n",
    "Iterate through the dictionary and print out students names and their average score\n",
    "Ex: Lucille Bluth : 98"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "101\n",
      "102\n",
      "103\n",
      "104\n",
      "105\n",
      "106\n",
      "107\n",
      "108\n",
      "\n",
      "{'Name': 'George Bluth', 'AverageScore': 85, 'Year': 2, 'Class': 'INFO1201'}\n",
      "{'Name': 'Lucille Bluth', 'AverageScore': 100, 'Year': 3, 'Class': 'INFO1201'}\n",
      "{'Name': 'George Michael Bluth', 'AverageScore': 98, 'Year': 1, 'Class': 'INFO1101'}\n",
      "{'Name': 'Michael Bluth', 'AverageScore': 90, 'Year': 5, 'Class': 'INFO2201'}\n",
      "{'Name': 'Gob Bluth', 'AverageScore': 40, 'Year': 8, 'Class': 'INFO1101'}\n",
      "{'Name': 'Lindsay Bluth', 'AverageScore': 70, 'Year': 4, 'Class': 'INFO1201'}\n",
      "{'Name': 'Buster Bluth', 'AverageScore': 95, 'Year': 2, 'Class': 'INFO1201'}\n",
      "{'Name': 'Sally Sitwell', 'AverageScore': 93, 'Year': 2, 'Class': 'INFO1201'}\n"
     ]
    }
   ],
   "source": [
    "for key in student_dictionary:\n",
    "    print(key)\n",
    "print()\n",
    "for value in student_dictionary:\n",
    "    print(student_dictionary[value])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "George Bluth: 85\n",
      "Lucille Bluth: 100\n",
      "George Michael Bluth: 98\n",
      "Michael Bluth: 90\n",
      "Gob Bluth: 40\n",
      "Lindsay Bluth: 70\n",
      "Buster Bluth: 95\n",
      "Sally Sitwell: 93\n"
     ]
    }
   ],
   "source": [
    "for i in student_dictionary:\n",
    "    print(student_dictionary[i]['Name']+':', student_dictionary[i]['AverageScore'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "AJRQzwMmQ8hn"
   },
   "source": [
    "#### Question 2:\n",
    "Find the student with the highest average score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 5,
     "status": "ok",
     "timestamp": 1687190584189,
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      "userId": "13931278578707862625"
     },
     "user_tz": 360
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    "id": "9l-EKif6Qqzg",
    "outputId": "4e7f9eac-9128-4ae4-d29a-a0197e2741e1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lucille Bluth 100\n"
     ]
    }
   ],
   "source": [
    "listOfScores = []\n",
    "\n",
    "score = 0\n",
    "name = ''\n",
    "\n",
    "for i in student_dictionary:\n",
    "    if student_dictionary[i]['AverageScore'] > score:\n",
    "        score = student_dictionary[i]['AverageScore']\n",
    "        name = student_dictionary[i]['Name']\n",
    "print(name, score)    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DNUm-yR1Q-Dt"
   },
   "source": [
    "#### Question 3:\n",
    "Find the total average of all the students"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "83.875"
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   "source": [
    "Value = 0\n",
    "length = 0\n",
    "for i in student_dictionary:\n",
    "    # print(student_dictionary[i]['AverageScore'])\n",
    "    length += 1\n",
    "    Value += student_dictionary[i]['AverageScore']\n",
    "#print(totalAverage)\n",
    "totalAverage = Value/length\n",
    "totalAverage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pmS0IrwKRD7a"
   },
   "source": [
    "## Problem 2 - Functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a computer-based doctor. This shoudl simulates a session of non-directive psychotherapy.\n",
    "The program (doctor) prints a greeting and waits for the user (patient) to answer an initial question.  \n",
    "\n",
    "Each answer entered by the user results in a related reply by the program that continues the conversation.  \n",
    "\n",
    "When the user enters 'quit,' the program signs off with a goodbye.\n",
    "\n",
    "Based upon the data (lists, dictionaries, and tuples) provided, make a 'reply' function that will randomly generate a number. Based upon that number have the 'doctor' say different outputs. You must be able to \n",
    "- use a hedge\n",
    "- have a phrase that says 'earlier you said that..' and refer to something already put in the input\n",
    "\n",
    "hint: random.choice() could help here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "id": "rlThnSfVRsF3"
   },
   "outputs": [],
   "source": [
    "hedges = ('Please tell me more', 'Many of my patients tell me the same thing',\n",
    "          'Please continue')\n",
    "\n",
    "history = []\n",
    "\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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     "base_uri": "https://localhost:8080/"
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    "executionInfo": {
     "elapsed": 1259,
     "status": "ok",
     "timestamp": 1687194202141,
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    "id": "aN44-N1rdGrg",
    "outputId": "7c67c4a9-8fc4-427d-b537-d7dca8b899bf"
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   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "How can I help you today? I am sad\n",
      "Please tell me more my cat died\n",
      "Please tell me more I had him for over 20 years\n"
     ]
    }
   ],
   "source": [
    "firstQuestion = input('How can I help you today?')\n",
    "while True:\n",
    "\n",
    "    response1 = input(random.choice(hedges))\n",
    "\n",
    "    if response1 == 'quit':\n",
    "        break\n",
    "\n",
    "    else: \n",
    "        continue\n",
    "\n",
    "    history.append(hedge1) \n",
    "\n",
    "    followup = input('Earlier you said that', random.choice(history)+'.', 'Could you expand on that?')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Optional- to add complexity you can use qualifiers and replacements: \n",
    "\n",
    "Create a function called 'change person' that will change the sentence to include the right pronoun and responds with a qualifier + the sentence again. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "replacements = {'i':'you', 'me':'you', 'my':'your',\n",
    "                'we':'you', 'us':'you',  'you':\"i\"}\n",
    "\n",
    "qualifiers = ['Why do you say that ', 'You seem to think that ',\n",
    "              'Did I just hear you say that ']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XnNFuRcxSrO-"
   },
   "source": [
    "## Problem 3 - Classes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "c-gC7F5-UWFi"
   },
   "source": [
    "#### Question 1:\n",
    "\n",
    "Build a class object for restaurant informatoin. The class should have the following:\n",
    "1.   A method that reads dishes and append them to a list or a dictionary\n",
    "2.   A method that prints out the saved dishes\n",
    "\n"
   ]
  },
  {
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   "execution_count": null,
   "metadata": {
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     "elapsed": 10,
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    },
    "id": "sk0TpU_WT4r6"
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   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "URt_0jI9V2VW"
   },
   "source": [
    "#### Question 2:\n",
    "\n",
    "create a class instance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "executionInfo": {
     "elapsed": 26,
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    "id": "UBCKAYh7WNL0"
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  },
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       "type": "string"
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      "text/plain": [
       "'Good Old Burgers'"
      ]
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   "source": [
    "#### Question 3:\n",
    "use the two methods you created"
   ]
  },
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   "source": [
    "#### Question 4:\n",
    "\n",
    "update a value you have in the class instance you created"
   ]
  },
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