cmd 发表于 2020-12-31 18:36:29

求解答几道python题目

题目如下:
第一题:程序运行时,首先屏幕显示“你是哪个学校的?”并等待输入,当通过键盘输入学校后,需要将输入的学校名称存储起来,然后屏幕显示“我就读于“,跟着显示刚才存储的内容。 第二题:计算正方形面积。需要先知道正方形的边长,然后计算面积,最后输出。 第三题:判断教室内是否可以开空调。首先需要知道教室内温度,高于32度可以开空调,否则就不能。 第四题:判断成绩等级。85~100为优秀,75~84为良好,60~74为合格,60以下为不合格。




求解答,万分感谢

这个显卡不太冷 发表于 2020-12-31 20:56:48

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


def test1():
    addr = input('哪儿来的小逼崽子?')
    print('贫僧来自'+addr)

def test2():
    x = float(input(''))
    print(x**2)

def test3():
    temp = float(input(''))
    if temp > 32: print('YES')
    else : print('NO')

def test4():
    score = int(input(''))
    level = ['优秀', '良好', '合格', '不合格']
    you = 3
    if score >= 60: you -= 1
    if score >= 75: you -= 1
    if score >= 85: you -= 1
    print(level)

print('test1() ')
test1()
print('test2() ')
test2()
print('test3() ')
test3()
print('test4() ')
test4()

nkc3g4 发表于 2021-1-1 01:37:12

.

qwq 发表于 2021-2-5 10:29:14

print("你那个学校的")
school = input()
print("我就读"+school)
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查看完整版本: 求解答几道python题目