[제로베이스] 데이터 사이언스 12기 - (02-21 스터디노트)

오늘 수강한 강의 - 알고리즘(31 ~ 50)

검색 알고리즘 31 ~ 32

[1] 숫자로 이루어진 리스트에서 사용자가 입력한 숫자를 검색하는 모듈을 다음 요건에 따라 만들어 보자

lineMod 모듈

def searchNumberByLineAlgorithm(ns, sn):
    searchResultIdx = -1
    print('Numbers: {}'.format(ns))
    print('Search Numbers: {}'.format(sn))

    n = 0
    while True:
        if n == len(ns):
            print('search FAIL!')
            break

        if ns[n] == sn:
            searchResultIdx = n
            print('search SUCCESS!')
            print('search result INDEX: {}'.format(searchResultIdx))
            break

        n += 1

    return searchResultIdx

ex.py

import lineMod
import random

if __name__ == '__main__':
    rNums = random.sample(range(1, 21), 10)
    searchNum = int(input('input search number: '))
    resultIdx = lineMod.searchNumberByLineAlgorithm(rNums, searchNum)

    if resultIdx == -1:
        print('No results found')
        print('search result index: {}'.format(resultIdx))

    else:
        print('>>> Search Results <<<')
        print('search result index: {}'.format(resultIdx))
        print('search result number: {}'.format(rNums[resultIdx]))

[2] 숫자로 이루어진 리스트에서 사용자가 입력한 숫자를 검색하는 모듈을 다음 요건에 따라 만들어 보자

binaryMod 모듈

def searchNumberByBinaryAlgorightm(ns, sn):
    searchResultIdx = -1
    staIdx = 0
    endIdx = len(ns) - 1
    midIdx = (staIdx + endIdx) // 2
    midVal = ns[midIdx]
    print('staIdx: {}, endIdx: {}'.format(staIdx, endIdx))
    print('midIdx: {}, midVal: {}'.format(midIdx, midVal))

    while sn >= ns[0] and sn <= ns[len(ns) - 1]:
        if sn == ns[len(ns) - 1]:
            searchResultIdx = len(ns) - 1
            break

        if staIdx + 1 == endIdx:
            if ns[staIdx] != sn and ns[endIdx] != sn: break

        if sn > midVal:
            staIdx = midIdx
            midIdx = (staIdx + endIdx) // 2
            midVal = ns[midIdx]
            print('+staIdx: {}, endIdx: {}'.format(staIdx, endIdx))
            print('+midIdx: {}, midVal: {}'.format(midIdx, midVal))

        elif sn < midVal:
            endIdx = midIdx
            midIdx = (staIdx + endIdx) // 2
            midVal = ns[midIdx]
            print('-staIdx: {}, endIdx: {}'.format(staIdx, endIdx))
            print('-midIdx: {}, midVal: {}'.format(midIdx, midVal))

        elif sn == midVal:
            searchResultIdx = midIdx
            break

    return searchResultIdx

ex.py

import binaryMod

if __name__ == '__main__':
    nums = [1, 2, 4, 6, 7, 8, 10, 11, 13, 15, 16, 17, 20, 21, 23, 24, 27, 28]
    searchNum = int(input('input search number: '))

    resultIdx = binaryMod.searchNumberByBinaryAlgorightm(nums, searchNum)
    print('nums: {}'.format(nums))

    if resultIdx == -1:
        print('No results found.')
        print('search result index: {}'.format(resultIdx))

    else:
        print('>>> Search Results <<<')
        print('search result index: {}'.format(resultIdx))
        print('search result number: {}'.format(nums[resultIdx]))

순위 알고리즘 33 ~ 34

[1] 숫자로 이루어진 리스트에서 아이템의 순위를 출력하고, 순위에 따라 아이템을 정렬하는 모듈 (리스트는 50부터 100까지의 난수 20개)

rankMod 모듈

def rankAlgorithm(ns):
    ranks = [0 for i in range(len(ns))]

    for idx, n1 in enumerate(ns):
        for n2 in ns:
            if n1 < n2:
                ranks[idx] += 1

    print('nums: {}'.format(ns))
    print('ranks: {}'.format(ranks))

    for i , n in enumerate(ns):
        print('num: {} \t rank: {}'.format(n, ranks[i] + 1))

    sortedNums = [0 for n in range(len(ns))]

    for idx, rank  in enumerate(ranks):
        sortedNums[rank] = ns[idx]

    return sortedNums

ex.py

import random
import rankMod

if __name__ == '__main__':
    nums = random.sample(range(50, 101), 20)
    sNums = rankMod.rankAlgorithm(nums)
    print('sNums: {}'.format(sNums))

[2] 알파벳 문자들과 정수들에 대한 순위를 정하는 프로그램 (알파벳은 아스키코드 값을 이용)

datas = [32, 'a', 'z', 45, 'G', 39, 50, 'T', 't', 22, 31, 55, 's', 63, 59, 'E']
print('datas: {}'.format(datas))

ascIIDatas = []
for data in datas:
    if str(data).isalpha():
        ascIIDatas.append(ord(data))
        continue
    ascIIDatas.append(data)
print('ascIIDatas: {}'.format(ascIIDatas))

ranks = [0 for i in range(len(ascIIDatas))]
print('ranks before: {}'.format(ranks))

for idx, data1 in enumerate(ascIIDatas):
    for data2 in ascIIDatas:
        if data1 < data2:
            ranks[idx] += 1
print('ranks after: {}'.format(ranks))

for i, d in enumerate(datas):
    print(f'data:{d:>2} \t rank:{ranks[i] + 1}')

35 ~ 38 정렬 알고리즘

[1] 숫자로 이루어진 리스트를 버블정렬 알고리즘을 이용해서 오름차순과 내림차순으로 정렬하는 모듈

bubbleMod 모듈

import copy

def sortByBubbleAlgorithm(ns, asc=True):
    c_ns = copy.copy(ns)
    length = len(c_ns) - 1
    for i in range(length):
        for j in range(length - i):

            if asc:
                if c_ns[j] > c_ns[j+1]:
                    c_ns[j], c_ns[j+1] = c_ns[j+1], c_ns[j]
            else:
                if c_ns[j] < c_ns[j+1]:
                    c_ns[j], c_ns[j+1] = c_ns[j+1], c_ns[j]

            print('ns: {}'.format(c_ns))
        print()

    return c_ns

ex.py

import random
import bubbleMod

if __name__ == '__main__':
    nums = random.sample(range(1, 20), 10)
    print('not sorted nums: {}'.format(nums))

    result = bubbleMod.sortByBubbleAlgorithm(nums)
    print('sorted nums by ASC: {}'.format(result))
    result = bubbleMod.sortByBubbleAlgorithm(nums, asc=False)
    print('sorted nums by DESC: {}'.format(result))

[2] 숫자로 이루어진 리스트를 삽입정렬 알고리즘을 이용해서 오름차순과 내림차순으로 정렬하는 모듈

insertMod 모듈

import copy

def sortInsertAlgorithm(ns, asc=True):
    c_ns = copy.copy(ns)

    for i1 in range(1, len(c_ns)):
        i2 = i1 - 1
        c_Num = c_ns[i1]

        if asc:       # 오름차순
            while c_ns[i2] > c_Num and i2 >= 0:
                c_ns[i2 + 1] = c_ns[i2]
                i2 -= 1

        else:         # 내림차순
            while c_ns[i2] < c_Num and i2 >= 0:
                c_ns[i2 + 1] = c_ns[i2]
                i2 -= 1

        c_ns[i2 + 1] = c_Num
        print('c_ns: {}'.format(c_ns))

    return c_ns

ex.py

import random
import insertMod

if __name__ == '__main__':
    nums = random.sample(range(1, 20), 10)

    print('not sorted nums:\n{}'.format(nums))
    result = insertMod.sortInsertAlgorithm(nums)
    print('sorted nums by ASC:\n{}'.format(result))

    print('not sorted nums:\n{}'.format(nums))
    result = insertMod.sortInsertAlgorithm(nums, asc=False)
    print('sorted nums by DESC:\n{}'.format(result))

[3] 숫자로 이루어진 리스트를 선택정렬 알고리즘을 이용해서 오름차순과 내림차순으로 정렬하는 모듈

selectMod 모듈

import copy

def sortSelectAlgorithm(ns, asc=True):
    c_ns = copy.copy(ns)

    for i in range(len(c_ns) - 1):
        minIdx = i

        for j in range(i + 1, len(c_ns)):
            if asc:     #오름차순
                if c_ns[minIdx] > c_ns[j]:
                    minIdx = j
            else:       #내림차순
                if c_ns[minIdx] < c_ns[j]:
                    minIdx = j

        c_ns[i], c_ns[minIdx] = c_ns[minIdx], c_ns[i]
        print('nums: {}'.format(c_ns))

    return c_ns

ex.py

import random
import selectMod

if __name__ == '__main__':
    nums = random.sample(range(1, 21), 10)

    print('not sorted nums:\t {}'.format(nums))
    result = selectMod.sortSelectAlgorithm(nums)
    print('sorted nums by ASC:\t {}'.format(result))

    print('not sorted nums:\t {}'.format(nums))
    result = selectMod.sortSelectAlgorithm(nums, asc=False)
    print('sorted nums by DESC:\t {}'.format(result))

[4] 숫자로 이루어진 리스트를 병합정렬 알고리즘을 이용해서 오름차순과 내림차순으로 정렬하는 모듈

mergeAlgorithm 모듈

def mSort(ns, asc=True):
    if len(ns) < 2:
        return ns

    midIdx = len(ns) // 2
    leftNums = mSort(ns[0: midIdx], asc=asc)
    rightNums = mSort(ns[midIdx:len(ns)], asc=asc)

    mergedNums = []
    leftIdx = 0; rightIdx = 0
    while leftIdx < len(leftNums) and rightIdx < len(rightNums):
        if asc:
            if leftNums[leftIdx] < rightNums[rightIdx]:
                mergedNums.append(leftNums[leftIdx])
                leftIdx += 1
            else:
                mergedNums.append(rightNums[rightIdx])
                rightIdx += 1
        else:
            if leftNums[leftIdx] > rightNums[rightIdx]:
                mergedNums.append(leftNums[leftIdx])
                leftIdx += 1
            else:
                mergedNums.append(rightNums[rightIdx])
                rightIdx += 1

    mergedNums += leftNums[leftIdx:]
    mergedNums += rightNums[rightIdx:]

    print('mergedNums: {}'.format(mergedNums))
    return mergedNums

ex.py

import random
import mergeAlgorithm

rNums = random.sample(range(1, 101), 20)
print('rNums: {}'.format(rNums))
print('mergeAlgorithm.mSort(rNums): {}'.format(mergeAlgorithm.mSort(rNums)))
print('mergeAlgorithm.mSort(rNums): {}'.format(mergeAlgorithm.mSort(rNums, asc=False)))

39 ~ 40 최댓값 알고리즘

[1] 최댓값 알고리즘을 이용해서 숫자로 이루어진 리스트에서 최댓값과 최댓값의 개수를 찾는 모듈 (리스트는 1부터 50까지의 난수 30개를 이용하되, 중복이 허용)

maxMod 모듈

class MaxAlgorithm:
    def __init__(self, ns):
        self.nums = ns
        self.maxNum = 0
        self.maxNumCnt = 0

    def setMaxNum(self):
        self.maxNum = 0
        for n in self.nums:
            if self.maxNum < n:
                self.maxNum = n

    def getMaxNum(self):
        self.setMaxNum()
        return self.maxNum

    def setMaxNumCnt(self):
        self.setMaxNum()
        for n in self.nums:
            if self.maxNum == n:
                self.maxNum += 1

    def getMaxNumCnt(self):
        self.setMaxNumCnt()
        return self.maxNumCnt

ex.py

import random
import maxMod

if __name__ == '__main__':
    nums = []
    for n in range(30):
        nums.append(random.randint(1, 50))

    print('nums: \n {}'.format(nums))
    ma = maxMod.MaxAlgorithm(nums)
    print('max num: {}'.format(ma.getMaxNum()))
    print('max num cnt: {}'.format(ma.getMaxNumCnt()))

[2] 학급 전체 학생의 시험 점수에 대한 평균과 최댓값을 구하고 평균과 최댓값의 편차를 출력하는 프로그램

mod 모듈

def getAvg(ns):
    total = 0
    for n in ns:
        total += n
    return total / len(ns)

def getMax(ns):
    maxN = ns[0]
    for n in ns:
        if maxN < n:
            maxN = n
    return maxN

def getDeviation(n1, n2):
    return round(abs(n1 - n2), 2)

ex.py

import mod

scores = [100, 64, 94, 66, 75, 58, 99, 76, 96, 74,
          54, 73, 88, 70, 68, 50, 95, 89, 69, 98]

scores_avg = mod.getAvg(scores)
scores_max = mod.getMax(scores)
deviation = mod.getDeviation(scores_avg, scores_max)

print('score_avg: {}'.format(scores_avg))
print('score_max: {}'.format(scores_max))
print('deviation: {}'.format(deviation))

41 ~ 42 최솟값 알고리즘

[1] 최솟값 알고리즘을 이용해서 숫자로 이루어진 리스트에서 최솟값과 최솟값의 개수를 찾는 모듈 (리스트는 1부터 50까지의 난수 30개를 이용하되, 중복이 허용)

minMod 모듈

class MinAlgorithm:
    def __init__(self, ns):
        self.nums = ns
        self.minNum = 0
        self.minNumCnt = 0

    def setMinNum(self):
        self.minNum = 51
        for n in self.nums:
            if self.minNum > n:
                self.minNum = n

    def getMinNum(self):
        self.setMinNum()
        return self.minNum

    def setMinNumCnt(self):
        self.setMinNum()
        for n in self.nums:
            if self.minNum == n:
                self.minNum += 1

    def getMinNumCnt(self):
        self.setMinNumCnt()
        return self.minNumCnt

ex.py

import random
import minMod

if __name__ == '__main__':
    nums = []
    for n in range(30):
        nums.append(random.randint(1, 50))

    print('nums: \n {}'.format(nums))
    ma = minMod.MinAlgorithm(nums)
    print('min num: {}'.format(ma.getMinNum()))
    print('min num cnt: {}'.format(ma.getMinNumCnt()))

[2] 학급 전체 학생의 시험 점수에 대한 평균과 최솟값을 구하고 평균과 최솟값의 편차를 출력하는 프로그램

mod 모듈

def getAvg(ns):
    total = 0
    for n in ns:
        total += n
    return total / len(ns)

def getMin(ns):
    minN = ns[0]
    for n in ns:
        if minN > n:
            minN = n
    return minN

def getDeviation(n1, n2):
    return round(abs(n1 - n2), 2)

ex.py

import mod

scores = [100, 64, 94, 66, 75, 58, 99, 76, 96, 74,
          54, 73, 88, 70, 68, 50, 95, 89, 69, 98]

scores_avg = mod.getAvg(scores)
scores_min = mod.getMin(scores)
deviation = mod.getDeviation(scores_avg, scores_min)

print('score_avg: {}'.format(scores_avg))
print('score_min: {}'.format(scores_min))
print('deviation: {}'.format(deviation))

<class를 이용>

mod2 모듈

class ScoreManagement:
    def __init__(self, ss):
        self.scores = ss
        self.score_tot = 0
        self.score_avg = 0
        self.score_min = 0
        self.score_max = 0

    def getMinScore(self):
        if self.scores == None or len(self.scores) == 0:
            return None
        self.score_min = self.scores[0]
        for score in self.scores:
            if self.score_min > score:
                self.score_min = score
        return self.score_min

    def getMaxScore(self):
        if self.scores == None or len(self.scores) == 0:
            return None
        self.score_max = self.scores[0]
        for score in self.scores:
            if self.score_max < score:
                self.score_max = score
        return self.score_max

    def getTotScore(self):
        if self.scores == None or len(self.scores) == 0:
            return None
        self.score_tot = 0
        for score in self.scores:
            self.score_tot += score
        return self.score_tot

    def getAvgScore(self):
        if self.scores == None or len(self.scores) == 0:
            return None
        self.score_avg = round(self.getTotScore() / len(self.scores), 2)
        return self.score_avg

    def getMaxDeviation(self):
        result = abs(self.getAvgScore() - self.getMaxScore())
        return round(result, 2)

    def getMinDeviation(self):
        result = abs(self.getAvgScore() - self.getMinScore())
        return round(result, 2)

ex.py

import mod2

scores = [100, 64, 94, 66, 75, 58, 99, 76, 96, 74,
          54, 73, 88, 70, 68, 50, 95, 89, 69, 98]

sm = mod2.ScoreManagement(scores)
print('score_avg: {}'.format(sm.getAvgScore()))
print('score_min: {}'.format(sm.getMinScore()))
print('score_max: {}'.format(sm.getMaxScore()))
print('score_min_deviation: {}'.format(sm.getMinDeviation()))
print('score_max_deviation: {}'.format(sm.getMaxDeviation()))

43 ~ 44 최빈값 알고리즘

[1] 최빈값 알고리즘을 이용해서 나이 분포를 간단한 그래프로 출력하는 모듈

maxMod 모듈

class MaxAlgorithm:
    def __init__(self, ns):
        self.nums = ns
        self.maxNum = 0
        self.maxNumIdx = 0

    def setMaxIdxAndNum(self):
        self.maxNum = 0
        self.maxNumIdx = 0

        for i, n in enumerate(self.nums):
            if self.maxNum < n:
                self.maxNum = n
                self.maxNumIdx = i

    def getMaxNum(self):
        return self.maxNum

    def getMaxIdx(self):
        return self.maxNumIdx

modeMod 모듈

import maxMod

class ModeAlgorithm:
    def __init__(self, ns, mn):
        self.nums = ns
        self.maxNum = mn
        self.indexes = []

    def setIndexList(self):
        self.indexes = [0 for i in range(self.maxNum + 1)]
        for n in self.nums:
            self.indexes[n] = self.indexes[n] + 1

    def getIndexList(self):
        if sum(self.indexes) == 0:
            return None
        else:
            return self.indexes

    def printAges(self):
        n = 1
        while True:
            maxAlo = maxMod.MaxAlgorithm(self.indexes)
            maxAlo.setMaxIdxAndNum()
            maxNum = maxAlo.getMaxNum()
            maxNumIdx = maxAlo.getMaxIdx()

            if maxNum == 0:
                break
            print(f'[{n:0>3}] {maxNumIdx}세 빈도수: {maxNum}\t', end='')
            print('+' * maxNum)
            self.indexes[maxNumIdx] = 0

            n += 1

ex.py

import modeMod
import maxMod

ages = [25, 27, 27, 24, 31, 34, 33, 31, 29, 25,
        45, 37, 38, 46, 47, 22, 24, 29, 33, 35,
        27, 34, 37, 40, 42, 29, 27, 25, 26, 27,
        31, 31, 32, 38, 25, 27, 28, 40, 41, 34]

print('employee cnt: {}명'.format(len(ages)))

maxAlo = maxMod.MaxAlgorithm(ages)
maxAlo.setMaxIdxAndNum()
maxAge = maxAlo.getMaxNum()
print('maxAge: {}세'.format(maxAge))

modAlo = modeMod.ModeAlgorithm(ages, maxAge)
modAlo.setIndexList()
print('IndexList: {}'.format(modAlo.getIndexList()))

modAlo.printAges()

[2] 최빈도 알고리즘을 이용해서 모든 회차의 각각의 번호에 대한 빈도수를 출력하는 프로그램

mod 모듈

class LottoMode:
    def __init__(self, ln):
        self.lottoNums = ln
        self.modeList = [0 for n in range(1, 47)]

    def getLottoNumMode(self):
        for roundNums in self.lottoNums:
            for num in roundNums:
                self.modeList[num] = self.modeList[num] + 1
        return self.modeList

    def printModeList(self):
        if sum(self.modeList) == 0:
            return None

        for i, m in enumerate(self.modeList):
            if i != 0:
                print(f'번호: {i:>2}, 빈도: {m}, {"*" * m}')

ex.py

import mod

lottoNums = [[13, 23, 15, 5, 6, 39], [36, 13, 5, 3, 30, 16], [43, 1, 15, 9, 3, 38],
             [32, 42, 24, 45, 8, 31], [18, 39, 41, 11, 4, 9], [12, 39, 11, 38, 32, 5],
             [29, 25, 13, 6, 14, 8], [21, 33, 19, 20, 42, 7], [6, 28, 3, 45, 41, 24],
             [42, 15, 8, 5, 35, 4], [14, 4, 35, 24, 29, 3], [15, 20, 6, 37, 34, 39],
             [27, 5, 32, 15, 25, 19], [45, 25, 2, 8, 30, 43], [4, 19, 33, 10, 6, 24],
             [25, 26, 45, 23, 24, 16], [33, 28, 45, 21, 38, 24], [4, 30, 29, 28, 32, 38],
             [11, 28, 12, 2, 42, 3], [40, 29, 16, 8, 9, 28], [6, 9, 37, 30, 3, 35],
             [29, 18, 41, 28, 38, 15], [9, 31, 13, 44, 1, 36], [36, 1, 37, 32, 15, 12],
             [41, 32, 16, 6, 26, 33], [12, 43, 10, 29, 39, 9], [41, 9, 23, 35, 18, 17],
             [35, 38, 3, 28, 36, 31], [21, 44, 4, 29, 18, 7], [20, 23, 6, 2, 34, 44]]

lm = mod.LottoMode(lottoNums)
mList = lm.getLottoNumMode()
print('mList: {}'.format(mList))
lm.printModeList()

45 ~ 46 근삿값 알고리즘

[1] 근삿값 알고리즘을 이용해서 수심을 입력하면 수온을 출력하는 모듈

nearMod 모듈

class NearAlgorithm:
    def __init__(self, d):
        self.temps = {0: 24, 5: 22, 10: 20, 15: 16, 20: 13, 25: 10, 30: 6}
        self.depth = d
        self.nearNum = 0
        self.minNum = 24

    def getNearNumbers(self):
        for n in self.temps.keys():
            absNum = abs(n - self.depth)
            if absNum < self.minNum:
                self.minNum = absNum
                self.nearNum = n

        return self.temps[self.nearNum]

ex.py

import nearMod

depth = int(float(input('input depth: ')))
print('depth: {}m'.format(depth))

na = nearMod.NearAlgorithm(depth)
temp = na.getNearNumbers()
print('water temperature: {}도'.format(temp))

[2] 사용자의 몸무게와 키를 입력하면 체질량지수(BMI)를 계산하고 근삿값 알고리즘과 BMI표를 이용해서 신체 상태를 출력하는 프로그램

nearMod 모듈

class BmiAlgorithm:
    def __init__(self, w, h):
        self.BMISection = {18.5:['저체중', '정상'],
                           23:['정상','과체중'],
                           25:['과체중', '비만']}
        self.userWeight = w
        self.userHeight = h
        self.userBMI = 0
        self.userCondition = ''
        self.nearNum = 0
        self.minNum = 25

    def calculatorBMI(self):
        self.userBMI = round(self.userWeight / (self.userHeight * self.userHeight), 2)
        print('userBMI: {}'.format(self.userBMI))

    def printUserCondition(self):
        for n in self.BMISection.keys():
            absNum = abs(n - self.userBMI)
            if absNum < self.minNum:
                self.minNum = absNum
                self.nearNum = n
        print('self.nearNum: {}'.format(self.nearNum))

        if self.userBMI <= self.nearNum:
            self.userCondition = self.BMISection[self.nearNum][0]
        else:
            self.userCondition = self.BMISection[self.nearNum][1]
        print('self.userCondition: {}'.format(self.userCondition))

ex.py

import nearMod

uWeight = float(input('input weight(Kg): '))
uHeight = float(input('input height(m): '))

na = nearMod.BmiAlgorithm(uWeight, uHeight)
na.calculatorBMI()
na.printUserCondition()

47 ~ 48 재귀 알고리즘

[1] 재귀 알고리즘을 이용해서 1월부터 12월까지 전월대비 매출 증감액을 나타내는 프로그램

(A상사의 2021년 월별 매출)

sales = [12000, 13000, 12500, 11000, 10500, 98000, 91000, 91500, 10500, 11500, 12000, 12500]

def salesUpAndDown(ss):
    if len(ss) == 1:
        return ss

    print('sales: {}'.format(ss))
    currentSales = ss.pop(0)
    nextSales = ss[0]
    increase = nextSales - currentSales
    if increase > 0:
        increase = '+' + str(increase)
    print('매출 증감액: {}'.format(increase))

    return salesUpAndDown(ss)

if __name__ == '__main__':
    salesUpAndDown(sales)

[2] 사용자가 정수 두개를 입력하면 작은 정수와 큰 정수 사이의 모든 정수의 합을 구하는 프로그램

mod 모듈

class NumsSum:
    def __init__(self, n1, n2):
        self.bigNum = 0
        self.smallNum = 0
        self.setN1N2(n1, n2)

    def setN1N2(self, n1, n2):
        self.bigNum = n1
        self.smallNum = n2

        if n1 < n2:
            self.bigNum = n2
            self.smallNum = n1

    def addNum(self, n):
        if n <= 1:
            return n
        return n + self.addNum(n-1)

    def sumBetweenNums(self):
        return self.addNum(self.bigNum - 1) - self.addNum(self.smallNum)

ex.py

import mod

num1 = int(input('input number1: '))
num2 = int(input('input number2: '))
ns = mod.NumsSum(num1, num2)
result = ns.sumBetweenNums()
print('result: {}'.format(result))

49 ~ 50 평균 알고리즘

[1] 최댓값과 최솟값을 제외한 나머지 점수에 대한 평균을 구하고 순위를 정하는 알고리즘

maxAlgorithm 모듈

class MaxAlgorithm:
    def __init__(self, ss):
        self.scores = ss
        self.minScore = 0
        self.maxIdx = 0

    def removeMaxScore(self):
        self.maxScore = self.scores[0]

        for i, s in enumerate(self.scores):
            if self.maxScore < s:
                self.maxScore = s
                self.maxIdx = i

        print('self.maxScore: {}'.format(self.maxScore))
        print('self.maxIdx: {}'.format(self.maxIdx))

        self.scores.pop(self.maxIdx)
        print('scores: {}'.format(self.scores))

minAlgorithm 모듈

class MinAlgorithm:
    def __init__(self, ss):
        self.scores = ss
        self.minScore = 0
        self.minIdx = 0

    def removeMinScore(self):
        self.minScore = self.scores[0]

        for i, s in enumerate(self.scores):
            if self.minScore > s:
                self.minScore = s
                self.minIdx = i

        print('self.maxScore: {}'.format(self.minScore))
        print('self.maxIdx: {}'.format(self.minIdx))

        self.scores.pop(self.minIdx)
        print('scores: {}'.format(self.scores))

nearAlgorithm 모듈

class Top5Players:
    def __init__(self, cts, ns):
        self.currentScores = cts
        self.newScore = ns

    def setAlignScore(self):
        nearIdx = 0
        minNum = 10.0

        for i, s in enumerate(self.currentScores):
            absNum = abs(self.newScore - s)
            if absNum < minNum:
                minNum = absNum
                nearIdx = i

        if self.newScore >= self.currentScores[nearIdx]:
            for i in range(len(self.currentScores) - 1, nearIdx, -1):
                self.currentScores[i] = self.currentScores[i-1]
            self.currentScores[nearIdx] = self.newScore

        else:
            for i in range(len(self.currentScores)-1, nearIdx+1, -1):
                self.currentScores[i] = self.currentScores[i-1]
            self.currentScores[nearIdx+1] = self.newScore

    def getFinalTop5Scroes(self):
        return self.currentScores

ex.py

import maxAlgorithm, minAlgorithm
import nearAlgorithm

top5Scores = [9.12, 8.95, 8.12, 6.90, 6.18]
scores = [6.7, 5.9, 8.1, 7.9, 6.7, 7.3, 7.2, 8.2, 6.2, 5.8]
print('scores: {}'.format(scores))

maxA = maxAlgorithm.MaxAlgorithm(scores)
maxA.removeMaxScore()
minA = minAlgorithm.MinAlgorithm(scores)
minA.removeMinScore()

total = 0
average = 0

for n in scores:
    total += n

average = round(total / len(scores), 2)

print('total: {}'.format(round(total, 2)))
print('average: {}'.format(average))

tp = nearAlgorithm.Top5Players(top5Scores, average)
tp.setAlignScore()
top5Scores = tp.getFinalTop5Scroes()
print('top5Scores: {}'.format(top5Scores))

[2] 홍길동 학생을 제외한 나머지 학생의 평균과 홍길동 학생의 점수의 차이를 출력하는 프로그램 (과목별 점수와 평균 점수를 모두 출력한다)

ex.py

kor_avg = 88; eng_avg = 82; mat_avg = 90
sci_avg = 78; his_avg = 92

hong_kor_score = 85; hong_eng_score = 90; hong_mat_score = 82
hong_sci_score = 88; hong_his_score = 100

stu19cnt_kor_total = kor_avg * 20 - hong_kor_score
stu19cnt_eng_total = eng_avg * 20 - hong_eng_score
stu19cnt_mat_total = mat_avg * 20 - hong_mat_score
stu19cnt_sci_total = sci_avg * 20 - hong_sci_score
stu19cnt_his_total = his_avg * 20 - hong_his_score

stu19cnt_kor_avg = stu19cnt_kor_total / 19
stu19cnt_eng_avg = stu19cnt_eng_total / 19
stu19cnt_mat_avg = stu19cnt_mat_total / 19
stu19cnt_sci_avg = stu19cnt_sci_total / 19
stu19cnt_his_avg = stu19cnt_his_total / 19

kor_gap = hong_kor_score - stu19cnt_kor_avg
eng_gap = hong_eng_score - stu19cnt_eng_avg
mat_gap = hong_mat_score - stu19cnt_mat_avg
sci_gap = hong_sci_score - stu19cnt_sci_avg
his_gap = hong_his_score - stu19cnt_his_avg

print('국어 점수 차이: {}'.format("+" + str(round(kor_gap, 2)) if kor_gap > 0 else round(kor_gap, 2)))
print('영어 점수 차이: {}'.format("+" + str(round(eng_gap, 2)) if eng_gap > 0 else round(eng_gap, 2)))
print('수학 점수 차이: {}'.format("+" + str(round(mat_gap, 2)) if mat_gap > 0 else round(mat_gap, 2)))
print('과학 점수 차이: {}'.format("+" + str(round(sci_gap, 2)) if sci_gap > 0 else round(sci_gap, 2)))
print('국사 점수 차이: {}'.format("+" + str(round(his_gap, 2)) if his_gap > 0 else round(his_gap, 2)))

stu19Cnt_total = stu19cnt_kor_avg + stu19cnt_eng_avg + stu19cnt_mat_avg + stu19cnt_sci_avg + stu19cnt_his_avg
stu19Cnt_avg = stu19Cnt_total / 5
hong_total = hong_kor_score + hong_eng_score + hong_mat_score + hong_sci_score + hong_his_score
hong_avg = hong_total / 5

avg_gap = round(hong_avg - stu19Cnt_avg, 2)
print('평균 차이: {}'.format("+" + str(round(avg_gap, 2)) if avg_gap > 0 else round(avg_gap, 2)))

재미있었던 부분

재귀 알고리즘을 이용해서 1월부터 12월까지 전월대비 매출 증감액을 나타내는 프로그램을 만들어 본 것이 가장 기억에 남고 재미있었다

어려웠던 부분

평균 알고리즘이 쉽다고 생각했는데 오늘 해본 문제풀이는 너무 길어서 중간에 내용을 놓치고 해결하는데 아주 오래걸려서 힘들었다

느낀점 및 내일 학습 계획

알고리즘 너무 어렵다 진짜
구조를 짜는 것이 익숙해져야 하는데 도저히 익숙해 지지가 않는다
기본 개념 강의을 다시 복습하고 와야하나 싶은 느낌이다
내일은 파이썬 테스트가 있다