1 #Author : Felix Li 2  3 import time 4  5 x=time.time()    # 时间戳  ( 从1970年到当前的秒数 unix 开始的时间) 6 print(x) 7  8 time.sleep(1) 9 y=time.clock()       #从进程开始，返回CPU的时间10 print(y)11 12 13 print(time.gmtime())  #时间戳转成struct_time ，结果为UTC时区14 z=time.localtime()    #时间戳转成struct_time ，结果为本地时区15 print(z)16 17 print(time.mktime(z))  #将struct_time转成时间戳18 19 c=time.strftime("%Y-%m-%d %H:%M:%S",z)   #将struct_time转成格式化的字符串形式20 print(c)21 22 print(time.strptime("2018/01/31 14:42:01","%Y/%m/%d %H:%M:%S"))  #将格式化的字符串转成struct_time

1 #Author : Felix Li 2  3 import datetime 4  5 print(datetime.datetime.now())      #当前时间 6  7 print(datetime.datetime.now() + datetime.timedelta(3))  #默认的是day 8  9 print(datetime.datetime.now()+datetime.timedelta(-15))     #当前时间的前15 day10 11 print(datetime.datetime.now()+datetime.timedelta(hours=3)) #当前时间+3 hours12 13 print(datetime.datetime.now()+datetime.timedelta(minutes=3))  #当前时间+3 分钟

1 #Author : Felix Li2 3 import random4 5 print(random.random())    #随机生成(0,1)之间的浮点数，顾头不顾尾！6 7 print(random.randint(0,2))  #随机生成整数0，1，28 9 print(random.randrange(0,2))  #随机生成0，1    和range 一样 顾头不顾尾！

1 #Author : Felix Li 2  3 import random 4  5 checkcode='' 6  7 for i in range(5): 8     current=random.randrange(0,5) 9     if current==i:10         number=chr(random.randint(97,122))11     elif current>i:12         number=chr(random.randint(65,90))13     else:14         number=random.randint(0,9)15     checkcode+=str(number)16 print(checkcode)

1 #Author : Felix Li 2 #  os模块  还得练习 3  4 import os 5  6 print(os.getcwd())  #获取当前工作目录，，即当前脚本工作目录 7  8 print(os.chdir(''))  #改变当前工作脚本 9 10 print(os.curdir)

1 #Author : Felix Li 2  3 import shutil  #复制的作用 4  5  6 f1=open('file_1',encoding="utf-8") 7 f2=open('file_2','w',encoding="utf-8") 8 shutil.copyfileobj(f1,f2) 9 10 11 shutil.copyfile("file_1","feil_3")12 13 14 shutil.rmtree("feil_3") #删除文件15 16 17 18 '''压缩文件 解压文件'''19 import zipfile20 z=zipfile.ZipFile('day5.zip','w')21 z.write("os_test")22 print('-------')23 z.write("shutil_test")24 z.close()

1 #Author : Felix Li 2 import shelve   #可以持久化任何pickle可支持的python数据格式 3 import datetime 4 d =shelve.open('shelve.test') 5  6 print(d.get('name')) 7 print(d.get('info')) 8 print(d.get('date')) 9 10 11 # info={'age':23,'job':'robots'}12 #13 # name=['felix','main','test']14 #15 # d['name']=name16 # d['info']=info17 # d['date']=datetime.datetime.now()

1  2     
      
        3         
       
        2
        4         
       
        2009
        5         
       
        141100
        6         
        7         
        8     
       9     
      
       10         
       
        5
       11         
       
        2012
       12         
       
        59900
       13         
       14     
      15     
      
       16         
       
        69
       17         
       
        2012
       18         
       
        13600
       19         
       20         
       21     
      22 

1 #Author : Felix Li 2 import xml.etree.ElementTree as ET 3  4 tree=ET.parse('xml_text.xml') 5 root=tree.getroot()  #读取xml文件 6 print(root.tag) 7  8 for child in root:   #遍历xml文档 9     print(child.tag,child.attrib)10     for i in child:11         print(i.tag,i.text,i.attrib)12 13 14 for node in root.iter('gdppc'):  #只遍历gdppc15     print(node.tag,node.text)

1 #Author : Felix Li 2  3 import xml.etree.ElementTree as ET 4  5 tree = ET.parse("xml_text.xml") 6 root = tree.getroot() 7  8 # 修改 9 for node in root.iter('year'):10     new_year = int(node.text) + 111     node.text = str(new_year)12     node.set("updated", "yes")13 14 tree.write("xml_text.xml")15 16 # 删除node17 for country in root.findall('country'):18     rank = int(country.find('rank').text)19     if rank > 50:20         root.remove(country)21 22 tree.write('output.xml')

1 #Author : Felix Li 2  3 import hashlib 4  5 m=hashlib.md5() 6 m.update('你是250'.encode(encoding="utf-8")) 7 print(m.digest()) 8 print(m.hexdigest()) 9 10 11 import hmac12 13 h=hmac.new('你是250'.encode(encoding="utf-8"))14 print(h.digest())  #加密成十进制15 print(h.hexdigest())#加密成十六进制

#Author : Felix Liimport re # 匹配所有字符print(re.search(".+","we are family ! 123")) #匹配纯数字print(re.search("\d+","we are family ! 123")) #匹配前一个字符1次或者0次print(re.search("we are?","we are family ! 123")) #{m} 匹配前一个字符m次print(re.search("[0-9]{3}","we 4 are 5 family ! 123"))print(re.findall("[0-9]{1,3}","we 4 are 5 family ! 123")) #匹配左或者右的字符print(re.search("fa|we","we are family ! 123"))print(re.findall("we|fa|e","we are family ! 123")) #分组匹配print(re.search("(ly){2}(123|456)(\|\|){3}","we are familyly123|||||| ! 123")) #典型 匹配身份证号  (成了一个字典)print(re.search("(?P
     
      [0-9]{2})(?P
      
       [0-9]{2})(?P
       
        [0-9]{2})(?P
        
         [0-9]{8})","370123199406291018").groupdict()) #以匹配到的字符当作列表分隔符print(re.split("[0-9]","asd12fg44hh4rw33rr3")) #匹配字符并替换print(re.sub("e","E","we are family!!!"))