转载自品略图书馆 http://www.pinlue.com/article/2020/06/1613/0210750052042.html
Python 语言实现功能直接了当,简明扼要,今天咱们就来一起看看 Python 5 行代码的神奇操作!
有一对兔子,从出生后第3个月起每个月都生一对兔子,小兔子长到第三个月后每个月又生一对兔子,假如兔子都不死,问每个月的兔子总数为多少?
def count(n): if (1 == n or 2 == n): return 1 elif (n >= 2): return count(n - 2) + count(n - 1)print(count(36) * 2)
num1 = input("第一个数:")num2 = input("第二个数:")new_num1 = int(num1)new_num2 = int(num2)print(new_num1 + new_num2)
while(True): question = input() answer = question.replace("吗", "呢") answer = answer.replace("?", "!") print(answer)
输出:
在吗在呢吃饭了吗吃饭了呢要下班了吗要下班了呢最近好吗最近好呢
from http import serverfrom http.server import SimpleHTTPRequestHandlerserver_address = ("127.0.0.1", 8888)httpd = server.HTTPServer(server_address, SimpleHTTPRequestHandler)httpd.serve_forever()
for i in range(1, 10): for j in range(1, i+1): print("{}x{}={}\t".format(j, i, i*j), end="") print()
输出:
1x1=1 1x2=2 2x2=4 1x3=3 2x3=6 3x3=9 1x4=4 2x4=8 3x4=12 4x4=16 1x5=5 2x5=10 3x5=15 4x5=20 5x5=25 1x6=6 2x6=12 3x6=18 4x6=24 5x6=30 6x6=36 1x7=7 2x7=14 3x7=21 4x7=28 5x7=35 6x7=42 7x7=49 1x8=8 2x8=16 3x8=24 4x8=32 5x8=40 6x8=48 7x8=56 8x8=64 1x9=9 2x9=18 3x9=27 4x9=36 5x9=45 6x9=54 7x9=63 8x9=72 9x9=81
for i in range(1, 10): for j in range(i, 10): print(f"{i}x{j}={i*j}",end="\t") print(" ")print("\n")
输出:
1x1=1 1x2=2 1x3=3 1x4=4 1x5=5 1x6=6 1x7=7 1x8=8 1x9=9 2x2=4 2x3=6 2x4=8 2x5=10 2x6=12 2x7=14 2x8=16 2x9=18 3x3=9 3x4=12 3x5=15 3x6=18 3x7=21 3x8=24 3x9=27 4x4=16 4x5=20 4x6=24 4x7=28 4x8=32 4x9=36 5x5=25 5x6=30 5x7=35 5x8=40 5x9=45 6x6=36 6x7=42 6x8=48 6x9=54 7x7=49 7x8=56 7x9=63 8x8=64 8x9=72 9x9=81
给一个不多于5位的正整数,逆序打印出各位数字,实现思路如下:
def nixu(n): l = str(n) l_str = l[::-1] print("逆序:%s" % ( l_str))nixu(2020)
输出:
逆序:0202
from wordcloud import WordCloudimport PIL.Image as image
with open("wordcloud.txt") as fp: text = fp.read() wordcloud = WordCloud().generate(text) img = wordcloud.to_image() img.show()
词云
以百度为例,生成二维码
from MyQR import myqrmyqr.run( words="https://www.baidu.com/", colorized=True, save_name="baidu_code.png")
百度二维码
抠图具体教程详见
import os, paddlehub as hubhuseg = hub.Module(name="deeplabv3p_xception65_humanseg") # 加载模型path = "./imgs/" # 文件目录files = [path + i for i in os.listdir(path)] # 获取文件列表results = huseg.segmentation(>: files}) # 抠图
今天文章安利一些小技巧,希望对大家有一定的帮助