코딩테스트_with_Python.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPBMWnQ0Q8UC501+PjkqeEM",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/JunheeChoi/coding_practice/blob/main/%EC%BD%94%EB%94%A9%ED%85%8C%EC%8A%A4%ED%8A%B8_with_Python.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 보통의 취준생을 위한 코딩테스트 with Python"
      ],
      "metadata": {
        "id": "n9FyVbYKFFu5"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 3장 카카오톡의 오픈채팅방은 무슨 알고리즘으로 구현할까?"
      ],
      "metadata": {
        "id": "DxuMq82kFJ8Z"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3-2 2020년 카카오 개발자 신입 공개 채용 1차 1번 오픈채팅방 문제\n",
        "https://school.programmers.co.kr/learn/courses/30/lessons/42888\n",
        "\n",
        "오픈채팅방\n",
        "카카오톡 오픈채팅방에서는 친구가 아닌 사람들과 대화를 할 수 있는데, 본래 닉네임이 아닌 가상의 닉네임을 사용하여 채팅방에 들어갈 수 있다.\n",
        "\n",
        "신입사원인 김크루는 카카오톡 오픈 채팅방을 개설한 사람을 위해, 다양한 사람들이 들어오고, 나가는 것을 지켜볼 수 있는 관리자창을 만들기로 했다. 채팅방에 누군가 들어오면 다음 메시지가 출력된다.\n",
        "\n",
        "\"[닉네임]님이 들어왔습니다.\"\n",
        "\n",
        "채팅방에서 누군가 나가면 다음 메시지가 출력된다.\n",
        "\n",
        "\"[닉네임]님이 나갔습니다.\"\n",
        "\n",
        "채팅방에서 닉네임을 변경하는 방법은 다음과 같이 두 가지이다.\n",
        "\n",
        "채팅방을 나간 후, 새로운 닉네임으로 다시 들어간다.\n",
        "채팅방에서 닉네임을 변경한다.\n",
        "닉네임을 변경할 때는 기존에 채팅방에 출력되어 있던 메시지의 닉네임도 전부 변경된다.\n",
        "\n",
        "예를 들어, 채팅방에 \"Muzi\"와 \"Prodo\"라는 닉네임을 사용하는 사람이 순서대로 들어오면 채팅방에는 다음과 같이 메시지가 출력된다.\n",
        "\n",
        "\"Muzi님이 들어왔습니다.\"\n",
        "\"Prodo님이 들어왔습니다.\"\n",
        "\n",
        "채팅방에 있던 사람이 나가면 채팅방에는 다음과 같이 메시지가 남는다.\n",
        "\n",
        "\"Muzi님이 들어왔습니다.\"\n",
        "\"Prodo님이 들어왔습니다.\"\n",
        "\"Muzi님이 나갔습니다.\"\n",
        "\n",
        "Muzi가 나간후 다시 들어올 때, Prodo 라는 닉네임으로 들어올 경우 기존에 채팅방에 남아있던 Muzi도 Prodo로 다음과 같이 변경된다.\n",
        "\n",
        "\"Prodo님이 들어왔습니다.\"\n",
        "\"Prodo님이 들어왔습니다.\"\n",
        "\"Prodo님이 나갔습니다.\"\n",
        "\"Prodo님이 들어왔습니다.\"\n",
        "\n",
        "채팅방은 중복 닉네임을 허용하기 때문에, 현재 채팅방에는 Prodo라는 닉네임을 사용하는 사람이 두 명이 있다. 이제, 채팅방에 두 번째로 들어왔던 Prodo가 Ryan으로 닉네임을 변경하면 채팅방 메시지는 다음과 같이 변경된다.\n",
        "\n",
        "\"Prodo님이 들어왔습니다.\"\n",
        "\"Ryan님이 들어왔습니다.\"\n",
        "\"Prodo님이 나갔습니다.\"\n",
        "\"Prodo님이 들어왔습니다.\"\n",
        "\n",
        "채팅방에 들어오고 나가거나, 닉네임을 변경한 기록이 담긴 문자열 배열 record가 매개변수로 주어질 때, 모든 기록이 처리된 후, 최종적으로 방을 개설한 사람이 보게 되는 메시지를 문자열 배열 형태로 return 하도록 solution 함수를 완성하라.\n",
        "\n",
        "\n",
        "\n",
        "> 제한사항\n",
        "\n",
        "record는 다음과 같은 문자열이 담긴 배열이며, 길이는 1 이상 100,000 이하이다.\n",
        "\n",
        "다음은 record에 담긴 문자열에 대한 설명이다.\n",
        "\n",
        "*   record는 다음과 같은 문자열이 담긴 배열이며, 길이는 1 이상 100,000 이하이다.\n",
        "*   다음은 record에 담긴 문자열에 대한 설명이다.\n",
        "\n",
        "모든 유저는 [유저 아이디]로 구분한다.\n",
        "\n",
        "[유저 아이디] 사용자가 [닉네임]으로 채팅방에 입장 - \"Enter [유저 아이디] [닉네임]\" (ex. \"Enter uid1234 Muzi\")\n",
        "\n",
        "[유저 아이디] 사용자가 채팅방에서 퇴장 - \"Leave [유저 아이디]\" (ex. \"Leave uid1234\")\n",
        "\n",
        "[유저 아이디] 사용자가 닉네임을 [닉네임]으로 변경 - \"Change [유저 아이디] \n",
        "[닉네임]\" (ex. \"Change uid1234 Muzi\")\n",
        "\n",
        "첫 단어는 Enter, Leave, Change 중 하나이다.\n",
        "\n",
        "각 단어는 공백으로 구분되어 있으며, 알파벳 대문자, 소문자, 숫자로만 이루어져있다.\n",
        "\n",
        "유저 아이디와 닉네임은 알파벳 대문자, 소문자를 구별한다.\n",
        "\n",
        "유저 아이디와 닉네임의 길이는 1 이상 10 이하이다.\n",
        "\n",
        "채팅방에서 나간 유저가 닉네임을 변경하는 등 잘못 된 입력은 주어지지 않는다.\n",
        "\n",
        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)"
      ],
      "metadata": {
        "id": "HJRcpY7fFTG7"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "V2kO6OXfEqUH"
      },
      "outputs": [],
      "source": [
        "# 닉네임은 중복되지만 유저 아이디는 중복되지 않으며 입력 record가 주어졌을 때 record의 문자열을 차례대로 처리하여 마지막 결과 상태를 나타내면 되는 문제\n",
        "def solution(record):\n",
        "    answer = []\n",
        "    trace = []\n",
        "    Map = {}   # key, value가 있는 dictionary 구조\n",
        "\n",
        "    for i in range(len(record)):\n",
        "        temp = record[i].split(' ')    # 문자열 파싱\n",
        "\n",
        "        if temp[0] == 'Enter':    # 명령어가 enter인 경우\n",
        "            Map[temp[1]] = temp[2]    # Map의 key 유저 아이디의 value값을 닉네임으로 설정\n",
        "            trace.append([temp[0], temp[1]])    # Enter가 입력된 순서 기록\n",
        "        elif temp[0] == 'Leave':    # 명령어가 Leave인 경우\n",
        "            trace.append([temp[0], temp[1]])    # 명령어 leave가 입력된 순서 기록\n",
        "        else : Map[temp[1]] = temp[2]   # 명령어가 Change인 경우 Map의 key유저 아이디의 value값을 닉네임으로 설정\n",
        "\n",
        "\n",
        "    for i in range(len(trace)):    # 명령어가 입력된 순서를 기록한 곳을 보며\n",
        "        if trace[i][0] == 'Enter':  # 기록된 명령어가 Enter인 경우\n",
        "            result = Map[trace[i][1]] + \"님이 들어왔습니다.\"    # Map의 key유저 아이디의 value값(닉네임) + \"님이 들어왔습니다.\"를 출력\n",
        "            answer.append(result)\n",
        "        else:                       # 기록된 명령어가 Leave인 경우\n",
        "            result = Map[trace[i][1]] + \"님이 나갔습니다.\"    # Map의 key유저 아이디의 value값(닉네임) + \"님이 나갔습니다 출력\"\n",
        "            answer.append(result)\n",
        "\n",
        "    return answer"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "solution([\"Enter uid8979 muzii\", \"Change uid8979 prodo\", \"Enter uid3333 Ryan\", \"Leave uid8979 prodo\"])"
      ],
      "metadata": {
        "id": "xyWDNzY6HTL0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ce168e8d-2cf4-44cf-b4b7-77135900a24c"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['prodo님이 들어왔습니다.', 'Ryan님이 들어왔습니다.', 'prodo님이 나갔습니다.']"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 카카오 신입 개발자 블라인드 채용 : 인프라 분야/프로그래밍 분야\n",
        "#### 1. 인프라 분야\n",
        "* 인프라의 구성요소\n",
        "1.   하드웨어 : 서버 장비 본체 혹은 데이터를 저장하기 위한 장치\n",
        "2.   네트워크 : 사용자와 사용자를 연결하는 도구들 ex) 라우터, 브릿지, 허브 등\n",
        "3. 운영체제 : 하드웨어와 소프트웨어 제어, 사용자가 쉽게 컴퓨터를 쓰도록 하는 프로그램 ex) 윈도우즈, 맥OS, 리눅스\n",
        "4. 미들웨어 : 운영체제와 애플리케이션 중간에서 도움을 주는 소프트웨어 ex) mySQL, 아파치 HTTP 서버\n",
        "\n",
        "* 세부 업무\n",
        "1. System Engineer\n",
        "2. Network Engineer\n",
        "3. DBA\n",
        "4. Data Architect\n",
        "5. Hadoop Engineer\n",
        "\n",
        "\n",
        "#### 2. 프로그래밍 분야\n",
        "* 서버 분야\n",
        "1. 카카오톡, 다음, 멜론, 소셜 등 서비스 개발\n",
        "2. 비즈니스 플랫폼 개발\n",
        "3. 클라우드 플랫폼/지도 플랫폼/개발 도구 개발\n",
        "\n",
        "* 클라이언트 분야\n",
        "1. Android/iOS 앱 개발\n",
        "2. Front-End 개발\n",
        "\n",
        "* 데이터 분야\n",
        "1. 데이터 엔지니어링\n",
        "2. 데이터 사이언스\n",
        "\n"
      ],
      "metadata": {
        "id": "s0Yvnm8eUIFp"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 제4장 구현의 달인, 삼성 코딩 테스트"
      ],
      "metadata": {
        "id": "TodZVbcUV4fP"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 4-1 삼성 개발자 신입 공개 채용 과정\n",
        "* S/W 역량 테스트(=코딩 테스트)\n",
        "* 면접 : 기술 면접, 인성 면접, 창의 면접\n",
        "\n",
        "\n",
        "### 4-2 삼성의 주력 서비스\n",
        "\n",
        "\n",
        "> 삼성전자, 삼성디스플레이, 삼성생명, 삼성SDS, 삼성SDI, 삼성전기, 삼성카드 등\n",
        "* 긴 코드를 구현할 능력이 있으며, 정확하게 구현해나가는 사람 필요\n",
        "* 완전 탐색 알고리즘, 백트래킹알고리즘, 그래프 이론 등, 그 외 동적 프로그래밍, 그리디 알고리즘 등 출제\n",
        "\n",
        "\n",
        "### 4-3 삼성 S/W 역량 테스트 A형 기출 문제\n",
        "치킨 배달\n",
        "\n",
        "* 문제\n",
        "\n",
        "크기가 N×N인 도시가 있다. 도시는 1×1크기의 칸으로 나누어져 있다. 도시의 각 칸은 빈 칸, 치킨집, 집 중 하나이다. 도시의 칸은 (r, c)와 같은 형태로 나타내고, r행 c열 또는 위에서부터 r번째 칸, 왼쪽에서부터 c번째 칸을 의미한다. r과 c는 1부터 시작한다.\n",
        "\n",
        "이 도시에 사는 사람들은 치킨을 매우 좋아한다. 따라서, 사람들은 \"치킨 거리\"라는 말을 주로 사용한다. 치킨 거리는 집과 가장 가까운 치킨집 사이의 거리이다. 즉, 치킨 거리는 집을 기준으로 정해지며, 각각의 집은 치킨 거리를 가지고 있다. 도시의 치킨 거리는 모든 집의 치킨 거리의 합이다.\n",
        "\n",
        "임의의 두 칸 (r1, c1)과 (r2, c2) 사이의 거리는 |r1-r2| + |c1-c2|로 구한다.\n",
        "\n",
        "예를 들어, 아래와 같은 지도를 갖는 도시를 살펴보자.\n",
        "\n",
        "0 2 0 1 0\n",
        "\n",
        "1 0 1 0 0\n",
        "\n",
        "0 0 0 0 0\n",
        "\n",
        "0 0 0 1 1\n",
        "\n",
        "0 0 0 1 2\n",
        "\n",
        "0은 빈 칸, 1은 집, 2는 치킨집이다.\n",
        "\n",
        "(2, 1)에 있는 집과 (1, 2)에 있는 치킨집과의 거리는 |2-1| + |1-2| = 2, (5, 5)에 있는 치킨집과의 거리는 |2-5| + |1-5| = 7이다. 따라서, (2, 1)에 있는 집의 치킨 거리는 2이다.\n",
        "\n",
        "(5, 4)에 있는 집과 (1, 2)에 있는 치킨집과의 거리는 |5-1| + |4-2| = 6, (5, 5)에 있는 치킨집과의 거리는 |5-5| + |4-5| = 1이다. 따라서, (5, 4)에 있는 집의 치킨 거리는 1이다.\n",
        "\n",
        "이 도시에 있는 치킨집은 모두 같은 프랜차이즈이다. 프렌차이즈 본사에서는 수익을 증가시키기 위해 일부 치킨집을 폐업시키려고 한다. 오랜 연구 끝에 이 도시에서 가장 수익을 많이 낼 수 있는  치킨집의 개수는 최대 M개라는 사실을 알아내었다.\n",
        "\n",
        "도시에 있는 치킨집 중에서 최대 M개를 고르고, 나머지 치킨집은 모두 폐업시켜야 한다. 어떻게 고르면, 도시의 치킨 거리가 가장 작게 될지 구하는 프로그램을 작성하시오.\n",
        "\n",
        "* 입력\n",
        "\n",
        "첫째 줄에 N(2 ≤ N ≤ 50)과 M(1 ≤ M ≤ 13)이 주어진다.\n",
        "\n",
        "둘째 줄부터 N개의 줄에는 도시의 정보가 주어진다.\n",
        "\n",
        "도시의 정보는 0, 1, 2로 이루어져 있고, 0은 빈 칸, 1은 집, 2는 치킨집을 의미한다. 집의 개수는 2N개를 넘지 않으며, 적어도 1개는 존재한다. 치킨집의 개수는 M보다 크거나 같고, 13보다 작거나 같다.\n",
        "\n",
        "* 출력\n",
        "\n",
        "첫째 줄에 폐업시키지 않을 치킨집을 최대 M개를 골랐을 때, 도시의 치킨 거리의 최솟값을 출력한다.\n",
        "\n",
        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        "\n"
      ],
      "metadata": {
        "id": "frBkapGfWJRB"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "vlxgyDAQHTSZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "7olMmcGQV6il"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "NYZAkk9ZV6on"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "l3ukFeTWV6yF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "uks84VA6V677"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "q7R_bPsTV7IQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ve0g7b3sV7P5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "EID2oBxhV4J7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "E0Th4e-pHTYA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "mxXgzGePHTeH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "6bCvxUxUHTlO"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}