print("a is bigger than 5") if a < 5: print("a is smaller than 5") if a >= 5: print("a is greater than or equal 5") if a <= 5: print("a is less than or equal 5") 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 输入不同的值来看结果 5 3
a = random.randint(1, 9) num= int(input("请输入一个数字"))print("随机数为%d"%a)ifnum
ftp登陆连接 from ftplib import FTP #加载ftp模块 ftp=FTP() #设置变量 ftp.set_debuglevel(2) #打开调试级别2,显示详细信息 ftp.connect("IP","port") #连接的ftp sever和端口 ftp.login("user","password") #连接的用户名,密码 print ftp.getwelcome() #打印出欢迎信息 ftp.cmd("xxx/xxx") #进入...
#!/usr/bin/python x = 3 if x > 10: print("x smaller than 10") else: print("x is bigger than 10 or equal") 如果将x设置为大于 10,它将执行第二个代码块。 我们使用缩进(4 个空格)定义块。一个小游戏:用户可能并不总是定义变量,请考虑以下小游戏:age = 24 print "Guess my age, you ...
英文: Python can also compare values. This lets us check whether something is smaller than, equal to, or bigger than something else. This allows us to take the result of our expressions and use them to make decisions. # 示例比较得出 boolean 值print(10>1)## output: Trueprint("cat"=="...
or should be greater than 1.0. The bigger ``reducing_gap``, the closer the result to the fair resampling. The smaller ``reducing_gap``, the faster resizing. With ``reducing_gap`` greater or equal to 3.0, the result is indistinguishable from fair resampling in most cases. ...
('Is h1 bigger than h2?', h1 > h2) # prints True print('Is h2 smaller than h3?', h2 < h3) # prints True print('Is h2 greater than or equal to h1?', h2 >= h1) # Prints False print('Which one is biggest?', max(houses)) # Prints 'h3: 1101-square-foot Split' print('...
(localPath).st_size if lsize >= fsize: print 'local file is bigger or equal remote file' return blocksize=1024 * 1024 cmpsize=lsize ftp.voidcmd('TYPE I') conn = ftp.transfercmd('RETR '+remotefile,lsize) lwrite=open(localPath,'ab') while True: data=conn.recv(blocksize) if not ...
print 'local file is bigger or equal remote file' return blocksize=1024 cmpsize=lsize ftp.voidcmd('TYPE I') conn = ftp.transfercmd('RETR '+remotefile,lsize) lwrite=open(localPath,'ab') while True: data=conn.recv(blocksize) if not data: ...
Let’s bring one more Python package into the mix. Seaborn has adisplot()function that plots the histogram and KDE for a univariate distribution in one step. Using the NumPy arraydfrom ealier: Python importseabornassnssns.set_style('darkgrid')sns.distplot(d) ...