1.在Python中输入以下命令:
numbers=[1,2,3,4,5,6,7,8,9,10]
a = numbers[3:6:2]
print (a)
输出结果为:?
A.[4, 5]
B.[4, 6]
C.[3, 5]
D.[4, 5, 6]
正确答案：B
2.下面哪个是Python中的不变的数据结构？
A.set
B.list
C.tuple
D.dict
正确答案：C
3.python my.py v1 v2 形式运行脚本时,通过 from sys import argv 如何获得v2 的参数值?
A.argv[0]
B.argv[1]
C.argv[2]
D.argv[3]
from sys import argv
sys.argv[0] 返回脚本名，也就是说 sys 从 python 之后开始读取参数
正确答案：C
4下面的python3函数，如果输入的参数n非常大，函数的返回值会趋近于以下哪一个值（选项中的值用Python表达式来表示）()
import random
def foo(n):
random.seed()
c1 = 0
c2 = 0
for i in range(n):
x = random.random()
y = random.random()
r1 = x * x + y * y
r2 = (1 - x) * (1 - x) + (1 - y) * (1 - y)
if r1 <= 1 and r2 <= 1:
c1 += 1
else:
c2 += 1
return c1 / c2
A.4 / 3
B.(math.pi - 2) / (4 - math.pi)
C.math.e ** (6 / 21)
D.math.tan(53 / 180 * math.pi)
正确答案：B
5.假设可以不考虑计算机运行资源（如内存）的限制，以下 python3 代码的预期运行结果是：()
import math
def sieve(size):
sieve= [True] * size
sieve[0] = False
sieve[1] = False
for i in range(2, int(math.sqrt(size)) + 1):
k = i * 2
while k < size:
sieve[k] = False
k += i
return sum(1 for x in sieve if x)
print(sieve(100000000000))
A.4118054810
B.4118054811
C.4118054812
D.4118054813
正确答案：D
6.请你简要介绍一下python中dict和list的区别,以及dict的内部实现方式
Dict查找速度快，占用 内存大，
list查找速度慢，占用内存小，
dict用大括号表示，list是中括号表示，
dict的内部实现是hash表，dict是一个数组，数组的键是通过hash函数处理后得到的,
hash函数的目的是使键值均匀分布在数组中；
dict是无序的可变可迭代对象，list是有序可变可迭代对象
7.有下面一段python代码
def count():
fs = []
for i in range(1, 4):
def f():
return i*i
fs.append(f)
return fs
f1, f2, f3 = count()
如果执行f1(), f2()和f3()，下列说法正确的是：（ ）
A.f1()执行结果为1
B.f2()执行结果为4
C.f3()执行结果为9
D.其他选项均错
正确答案：C
8.在python中, 进行下列算式时, 可能为假的是:
A.true == true
B.0 == 0
C.3.2 + 3.2 == 6.4
D.1 + 1 == 2
人家说可能进度问题，所以c
正确答案：C
9.下面关于Python的语句哪个会无限循环下去：
A.
for a in range(10):
time.sleep(10)
B.
while 1<10:
time.sleep(10)
C.
while True:
break
D.
a = [3,-1,',']
for i in a[:]:
if not a:
break
正确答案：B
10.关于Python的字符串下列说法错误的是：
A.字符应该视为长度为1的字符串
B.字符串以\0标志字符串的结束
C.既可以用单引号，也可以用双引号创建字符串
D.在三引号字符串中可以包含换行回车等特殊字符
正确答案：B
11.下列哪个python语句可能会在运行时报错（）
A.print 2, 3, 3
B.print ‘?’ * 233
C.print x233
D.print 0x233
正确答案：C
12.python函数中支持args和*kwargs。
关于二者的区别以下说法错误的是：
A.args要位于kwargs之前
B.kwargs是将相应的传值以字典形式呈现
C.args是将相应的传值以list的形式呈现
D.kwargs表示关键字参数
args是将相应的传值以tuple的形式呈现
正确答案：C
13.在考虑到并行计算的前提下，假设初始账户为10美元，阅读如下python代码片段：
def make_withdraw(balance):
def withdraw(amount):
nonlocal balance
if amount > balance:
print('Insufficient funds')
else:
balance = balance - amount
print(balance)
return withdraw
则说法错误的是:
A.结果可能为3
B.结果可能为2
C.结果可能为Insufficient funds
D.并行化代码会将代码行分配给多个处理器计算，与变量读写顺序无关。
正确答案：D
14.知识点：Python 10/10（单选）
What is the output for the LAST print?
def f(x,l=[]):
for i in range(x):
l.append(i*i)
print(l)
f(2)
f(3,[3,2,1])
f(3)
A.[0,1,4]
B.[0,1,0,1,4]
C.[3,2,1,0,1,4,0,1,4]
D.[0,1,3,2,1,0,1,4,0,1,4]
一个函数参数的默认值，仅仅在该函数定义的时候，被赋值一次；以后调用时，如果传入了参数，则用传入的参数，如果未传入参数，则去默认值的地址查找值并使用
正确答案：B
15.知识点：Python 9/10（单选）
Which of the following can not create dictionary
A.dict1 = {}
B.dict2 = { 3 : 5 }
C.dict3 = {[1,2,3]: "uestc”}
D.dict4 = {(1,2,3): “uestc”}
需要牢记的第一条就是dict的key必须是不可变对象
正确答案：C
16.知识点：Python 7/10（单选）
What is the output of the following code?
def foo():
try:
print(1)
finally:
print(2)
foo()
A.1 < br > 2
B.1
C.2
D.None of the mentioned
正确答案：A
17.知识点：Python 6/10（单选）
What is the output of the following snippet of code?
total={}
def insert(items):
if items in total:
total[items] += 1
else:
total[items] = 1
insert('Apple')
insert('Ball')
insert('Apple')
print (len(total))
A.3
B.1
C.2
D.0
正确答案：C
18.知识点：Python 4/10（单选）
What is the output of the code shown below?
a=re.compile('[0-9]+')
a.findall('7 apples and 4 mangoes')
A.[‘apples’ ‘and’ ‘mangoes’]
B.(7, 4)
C.[‘7’, ‘4’]
D.FALSE
正确答案：C
19.知识点：Python 5/10（单选）
What is the output of the following code?
a=10
b=20
def change():
global b
a=45
b=56
change()
print(a)
print(b)
A.10< br >56
B.45< br>56
C.10< br>20
D.45< br>20
正确答案：A
20.知识点：Python 3/10（单选）
What is the output of the following?
i = 0
while i < 5:
print(i)
i += 1
if i == 3:
break
else:
print(0)
A.0 1 2 0
B.0 1 2
C.error
D.0
正确答案：B
21.知识点：Python 2/10 （单选）
Which of the following is an invalid statement?
(下列哪一项是无效陈述?)
A.abc = 1,000,000
B.a b c = 1000 2000 3000
C.a_b_c = 1,000,000
D.a,b,c = 1000, 2000, 3000
正确答案：B
22.有一张图灵奖得主的肖像照片，被一个学生用简单的异或加密方法，编码成了如下这样的字符串：
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``6``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已知肖像照片是64x64像素的0~255级灰度图片，内存中用raw bitmap方式，每个像素用一个字节存储。对肖像照片的原始数据，学生使用的加密代码片段如下（Python3代码，代码中的key值是未知的加密密钥）：
1）请问：这张被加密的照片，是以下哪位图灵奖得主的肖像？（）
A. Marvin Minsky
B. John L. Hennessy
C.Donald E. Knuth
D. Raj Reddy
F.John McCarthy
A.Edsger W. Dijkstra
G.John Hopcroft
H. Alan Kay
正确答案：C
Donald E. Knuth
(2)请写出本题解题的主要思路，以及解题时使用的主要代码片段。
from PIL import Image
import base64
import numpy as np
_KEY_LEN = 2
originl = '''MG4rZiJpImkvaixpLGwrbjRxN3MxdzN3M3s + fTl9OX4EQgdCAUkCSQxID0sJTAtQF1IRVBNWE1sZWhhcGiBnJStrImUmZSFmLGcgZixrKGoobypwKnIwdzJ0Mns / QANCOkAEQQFGAEYMSAxID0oJURVTEVURVhJYGVsYXxheGiIvZSdjJ2MmZyNnI2UvaiNoL2wraitwN3YzczJ7PGstcTR3BEwIRgBEAkkPSA1JDk0LURZVEVQTVBxaH1wZXmUgJ2AkYyZhJGEnZyJiI2ktZi1rL2sobChwPkA7ctWz8ILCv9eeJHYMQgZJA0kMSQhKCFAUUhFVEVQQWhldGF9lXtqf22HanyWeJmAkYyZiImktZy1qLWgxbNSH / K / EhtJlKHYhg + GyIHwFRgBGD0sOTQlOFVIWVRFUE1YZXRldGF / Ymtmd2GHan9uf2mAkYyBmIGcsZClkyJP7ufqJ13MSVANwNGong + 6
XOX8CRABHDE0OTQhRFFIRVRBUE1sZXBgh2JvfnNmd2JzbnNufJGElYyBlJmg3lC13NHXVkT9c2Y3eidiW23IVSDtuMEcARA1JDUsJTAtTFlURVxNZHl0YXN6a3Z3cm9ma2Z3YnNie2p8kYCd5KnUWdSdt0ogdafTYn5IodyhGfg9rTD91OkcNRg9NDk0LURdSEVUQVxJbGVzflt2V05jemt6b2J3cndic2pw2ejFFI3Mhc9RxPmDTtChObysYJW84RioddzNCA0YNRg9KCFEUUxZSEFQTWBlb05LQk9OV3ZvSl9 + a3Jvend2YNW82djFlJZ3XSzVjylR1RxFPGzBoOGpeE3wyfzpHAEcMSwhOFU4WUhFVEFcfWteS1pTWkNCW05vdmd2a35 / Ujy9nLGU + h8mUM0Y9RB5OCkcVWAhLGjBpKg5qNH8 + fgFGDUYPSglNFVIXVRBUEF3XkNeT1pPXlNKU0ZLSm9yY3I3YY9aU2mE2YC5nBSwAbDJ9AmbZcwlRB2bVlSh6PnwERANJDUsJTwlQFlUWVBJW15HXkNWR1pPXkdeR15XcjP6LJJ / acdJBC2kkvD9HJZfTbM2w2mzZYNKogLU + kzFDBUADSQ1IDkoOTBVTFlQTVNSR1Y / KjtSS1JDWkNWbyrHef9idPU4FVT6f27komNCQyYb5h8qF + LLo3oL3 / Wk3eztABkICRgJLCEwVUxZVEFfKkcqPy5HLkNeMyJHXif9obnk4QApTZFgxYMSa3pXdtce48rTto / Ww79S5 + 79l
A3Q5fAdCAUYCRg5MClEXVRBWyYzIi8iQyY3VjM6P1L7QKBFwE1xuJ29BMmDNZcOXxar7sOqimNjnrvSxn8 + B2TxAPnw4QAZFAkgMSgpPFFIWVc2JworOi8 + NyYvMivhhFyQ / WG4gewcbcQJlxJDQjPSNz7n5gv60 + 7
nnpZrWmsfBQj16OUEHQgBGDE0ITgpTF1LCgsGGwoXCiM2FwYwlb2cmPyxuJkM / FUAUl / FhNZ / Xk / m7woH8tOq29q7 / vfXb5HM4ez97BUAGRAJJDEwIUBdSw4TGg8KEwYfMg / iMPkgRKWk2dAFFJgxJK7jpvc6fJbzjq / el77n4u8G876We246XAHU9eztBB0cCSQ9KCUwUVcCHw4DNhsGEwYT4gDgoFFp0N38uZEYGRdWl4a3vt8a7 / qjxv / Sq5c6K2pHQiMS6tAd3PXg8fTpDBEcMSw9NFFPGgseFw4TAhsaD / oNgAA1aEzF1UwZtLWnIoOOs6LnxvcO5 + rGS25LKus / s0o3MuMszQjB5P3o4QARFA0sJTQpQxIDEg8WCwYPGgPWRQA0GVxBNPWwLY9mV + Ln / s / Wq + 4L
zuveh596L2JzN7rzrp5b4 / X0 + dj94PnwERA1GDEoKTvq + +oHGg8eDx4Pom00JBEkYcCNuD2ItbPuFz7n + tfK58rr0oJHEm4H3uva / wonCqpmUP3Y9eD59OkAARgxLCE77vP + / x4HEgcWB6JdIPhZEEkQNSDCaJ2Unl9aHwoj / gPKt7siPiNmGOFEii8xnP3nQiyh3MHk4ezl / B0YNSA9M + br4vfuB + 7
z + vv6wRxRtfxRPF0QyZSlnPXLfl8 + F + bfp1ovc13EnQmhaMpTIexsx2oIreDp7PXs + fgZEAEYPTf66 + br7vv66 / r3E2gseaFEWRA93IWU6RjlALGPUgfmt6qmWjjhrBV0cIh1m3FRtRsOLNHcxcjJ9PHwGQgFHD0r8u / m6 + br5v / u9 + 6 / NO3kpE3s2fy5tA1AIRT9m0ov5rf69JHfbazJHGzlia90kHC4cZyJpKng8dzx9OkABSQxL / bv9uPy9 / r3 + vPi7m0xMNGpSOHYtbwVXG0QwntWJ6bjccBWR2ihBPlANGHfeRGoMHGshdgd5Nng8ezlBAUgNSvO28rb / uP67 / 7
byuZtIF7rfV0YGRSgOTxFDM3EglPiaMEMpfWkWWhxjeh0m17s4lclo33A + dTB7PHg4QQdHAkjyt / O387bytvy3 / bfojvDZlakBPUk4fCJtIDdlIGIgcQ1BNikIUA9XKmlpKCnWlnHFliNuMXExdjx4OEAHRQJI9rT2svC28rjzt / 236L
EHJB9v6Is6VwBsAyEEq5Le7Z8bWTdn3ZfCiTlZeFQAjIa7 / 748
ZipzM3YzeDh / BUQCRvGz8bPwufG287Xztuy0EScaKwJgPVc2aytlMmnu1uuL32nTmtKOI38teGBEA4 + P / OzY1m0ocjB3Mns8ejtFAUf2s / Cz9LX2svOy9rbqpAwzDUFtXAVEFlgUbMyPNZjz1rqo2WnSg9tmJHwPcTSos8OCp8tuKHE3dDx7P38FRQBJ8bLosPSz8bX2tfGy9aAtX9hKSjUPaD5aHncngtx / K6W4xOiR3WXYssZ4P3ou14fJhrYwai5sMHQwdz5 / OkUASfWx66 / 0
tPGw6q71r + uq / IvdM0Ig04M5XAJAPWDUjwFl + oCYsceD47LSeAx + INCa3Zq9L2oubTZ0M3Y5fDpAA0fqr + ut6rHqr / Wv9bHqsvyI5XVDK / uwAVQCQiqe3J81TQZAII / sofmRyVA5u + ivJmncmCNoLWw1cjF4P3w6QgFG66zpremt6bH2sPWv9oPwtsrd82w6kjFRF00wZytxMn8DTT11y7XyrikkOXUDRjtyJp4paSxsNXUxdz9 + BEAHRemt6a3rsvWs9LPqruiggNE5b4DUyn4OUR1IP2o8fCCfMUcIT97e65wGbh4NUwZydPeJImgvbDVyM3k / fzpAAknoremq6rPqrfWs6LeI / ilRNWswaNNSGV0efD1yKHU0ay1AFX34t8h5Ko4oVw1WSESZuyFqLW00czF7OX0FQgBL6a / pqums6a3or + mz5PDrcCWaAH0BewFdZkkzdCqYN24tbypo0ZUgQMiMJZzIfAN4zYIsayxsNHI9eDx + AUUAS + iq6KruqOms77Hqs5v + r + / wuz9HKW9lWhJEM2slbCOdI2crbdidDW / NYS2UIUTQn9 + dLmkvbDVyMnk8fgBHDUntq + mt76ruq + Kx9bfvxYbr6K73cj5eeiUOQzuc2notYydqOWwmfwiSIkI6dw57KnwqhNhwKGordz99OX8GRgJF7KnrpuCo7afhp + uZPdil5ZyQk9sDKGArHX0ybyJtP3kocDV2NlsRRAJNEiRmJGszParwkypvNXY + fDpAAEQAR + 6
r6avmoem48a7InjpgteS7h8KqDylmJAl6A3cgQAF7PW4ibTsgRwZCCU4PVAQRbiqEzLPddTd4PHoEQDtDA0buqu2q9IHUl8uK05LffvLlo6LNQmteZlUXXTt1PkUycSl1NGgyJlYBayxhSzBl0Z0zmtuYzXAydz16OkE6QABH7qvnrcKTyI / Xh8eGyWUo0aHF9kR5JB9RDCYLdgx9NHwxezpvOShrQjl6N3ImZtqX2WzbatNrOXk8eztBBUAAROyj6ITLhsKEw4fNh82MLJuE5YhNdCsaXhEicUoRTQVCOX88RBUmCHgLUztuKH8siPGAMn3eYAZ5Pnw4fgRBBEXntNWNzInJgfmM1pHWgMJ00P + mqBglbyJlUmotbyUHSgJ / DFkKIBx9FCEEbS91KY / r3zR + I6ggSTB6OH46QQdC / ZfRiMCAw43Dh8uM3pnPljqCs + H + KmAgGUkWMngAaUsHSBdSAVBmVgd4AnMxZyyay7zaQQ3ftXcCdjh + O0EBQ9GY35vNu / 6
Hy4jEh8idJYwkfsTzpYtiIRBGBF1FDUFdA1EfIxFJFiUIajJ1PXg9ZtiVNlIWt6XYAkA4fgVDB0LRkNeb3JPLiMma0YTDkCJz1nUDjbbh8StkRQdFGzZ9NGdfY1tlWR0pFUcDSTNNAW4 + ZQ1cZ72l5stQOUE6QgZBxovMkSWY2GbdjiNy0YTdbypgO23 + 86
XYdioUTgtVGyloI28jdVZnJmRSAn4zUBtSMGQQI2 + / pfCKQwZBBUAEfh5KPpbKm9tsIprTfguewGEHZjadyLaz4YEFcVYWQQNPE1VmLm1cZSAYVAxfbysYTAR + YCZsu6HBpJsSfgdDOHotZwROC2wlaCRrJ5cUJSmUPkEhZ8RijtgvQEc1FkoAfTlEHFEWIxxfZFphKWk4CF53SWksa7 + h06vaCUA7QTt6peGpoDVXDHAsbDhrLCMSmi9IPWi + YzePVJv5OXdRAHw7RQZACVESWgFQRzxGFxoqRUZqM3KNoMiV4N9QMXsFf7DzreGlpx9TLHcAUytAd0XaShlrpc9waCZNgJtDIBVMDEgGTxxVAnIBL1cUUhdmJnlXczV8iKvzgPDnUjJ3Onyx87fyqOGqfhp5PkYPc24uNEAbUJ3hzi / NldO1fTAXVxZNFVcaSyNQej9XFU4Idyp2IHI1fI + gwYvMv2gMdj95sfOq8LD3pfsXTS1zCXwONAx7ZyLe4aX5xUk9kRMBFl0aTxg5YGgKEU85SxdBAkctayVwMHu9pM2T1remC3s9drbvqeyo7LfhuksInj1HPyxhdRgoAarVlXYeFmnfL3IlElRwPhtobxVDN0MXTQNNMmoueTZ7vLnNkc + M + jZBPXix + bj7tvS286X + F1IpdTBXc30XKDg3Wh5DLHV7ynxRLw1ZeV0AfEwNRzZGF0g9QTJ3OHg9cbqQwZHdm + zHSzx7hcKAopnypvy44eEwAmg / QXVSAykfIHoDfXkZOyiFbjQ / JmtF315ZB0U7RhJLNEUwaTR + CQvfn8Pk15j3nkQyeb / 5
t8Pio6rxjcWliHB5KXNqKDclcVBiBEYENlxGe8xSYSwIRzA7VwBGO3sTQjlELGMzfQ4oy + zYnNvmyrNoB3ix + 7
zloqHI1aHFvuEBLzN5bjw3VHshEyxrA3eILS0afmMEGEMSFUwFey58EUsDeTBiNEk18aGaop7N49 + lggt5uPy587XgkL + J8Y7ovyQeQxEyClNzLxdMbV19J / 2
DGjdFCQpiRhZDAnoxegxVPnYwGDRcfpOw7aKeyOGnrNMFew =='''
key = [254, 161]
new = base64.standard_b64decode(originl)
print(new)
print(new[0], new[1])
img_show = np.zeros((64, 64))
for i in range(64):
for j in range(64):
img_show[i][j] = new[i * 64 + j] ^ key[(i * 64 + j) % _KEY_LEN]
img = Image.fromarray(img_show)
img.show()
另一种写法
import base64
import PIL
from PIL import Image
res = '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'
encrypted = base64.standard_b64decode(res)
print(len(encrypted))
img = Image.frombytes('L', (64, 64), encrypted)
img.show()
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