序列化
# 什么是序列化 -- json
# lit = [1,22,3,3,45] # [1,22,3,3,45]
# s_lst = str(lit)
# print(s_lst,type(s_lst))
# print(list(s_lst))
# print(eval(s_lst)) # 禁止使用
import json
# 两组4个方法:
# 1.dumps loads
# lit = [1,22,3,3,45]
# print(json.dumps(lit),type(json.dumps(lit)))
# str_lst = json.dumps(lit)
# lst = json.loads(str_lst)
# print(lst,type(lst))
# dumps 将对象转换(序列化)成字符串
# loads 将字符串转换(反序列化)成对象
# dic = {'username':'宝元'}
# str_dic = json.dumps(dic) # 序列化
# str_dic = json.dumps(dic,ensure_ascii=False) # ensure_ascii=False 关闭ascii码
# print(str_dic,type(str_dic))
# dic1 = json.loads(str_dic) # 反序列化
# print(dic1,dic1["username"])
# 2.dump load
# import json
# lit = [1,22,3,3,45]
# 同时写多个内容 进行序列化
# lst = [1,2,3,4,56,]
# f = open("info","w",encoding="utf-8")
# f.write(json.dumps(lst) + "
")
# f.write(json.dumps(lst) + "
")
# f.write(json.dumps(lst) + "
")
# f.write(json.dumps(lst) + "
")
# f.write(json.dumps(lst) + "
")
# f.close()
# dump: 将对象转换(序列化)成字符串,写入文件
# load: 将文件中字符串转换(反序列)成对象
# 同时读多个内容进行反序列
# f1 = open("info","r",encoding="utf-8")
# for i in f1:
# l = json.loads(i)
# print(l)
# f1.close()
# pickle 序列化 - nb(python所有对象进行转换)
# python自带的(只有python可以用)
# 两组4个方法:
#1. dumps loads
# import pickle
# lst = [12,3,4,5,768]
# t_list = pickle.dumps(lst) # 转换成类似字节
# print(t_list)
# print(pickle.loads(t_list)[-1])
# dic = {"user":"郭宝元"}
# t_list = pickle.dumps(dic) # 转换成类似字节
# print(t_list)
# print(pickle.loads(t_list))
# def func():
# print(111)
# import json
# fun = json.dumps(func)
# print(fun)
# fun = pickle.dumps(func)
# print(fun)
# pickle.loads(fun)()
#2. dump load
# import pickle
# dic = {"usern":"baoyuian"}
# dic = {"usern":"宝元"}
# pickle.dump(dic,open("info","wb"))
# print(pickle.load(open("info","rb")))
# import pickle
# dic = {"user":"123"}
# pickle.dump(dic,open("info","ab"))
# import pickle
# dic = {"1":2}
# f = open("info","wb")
# s = "
".encode("utf-8")
# f.write(pickle.dumps(dic)+ s)
# f.write(pickle.dumps(dic)+ s)
# f.write(pickle.dumps(dic)+ s)
# f.close()
#
# f1 = open("info","rb")
# for i in f1:
# print(pickle.loads(i))
# 推荐使用json
# json是各种语言通用的
# pickle(python私有)
# asdfasd
os
# os 模块 -- 程序员通过python向操作系统发送指令(与操作系统交互的接口)
# os模块四组:
# 1.工作目录
# import os
# print(os.getcwd()) # 当前工作路径 ***
# os.chdir("F:s24day06") # 路径切换
# print(os.curdir) # 当前
# print(os.pardir) # 父级
# 2.文件夹
# import os
# os.mkdir("ttt") # 创建一个文件夹 ***
# os.rmdir("ttt") # 删除一个文件夹 ***
# os.makedirs("ttt/sss/ddd/ee") # 递归创建文件夹 ***
# os.removedirs("ttt/sss/ddd/ee") # 递归删除文件夹 ***
# print(os.listdir(r"F:s24day17")) ***
# 3.文件
# import os
# os.rename() # 修改名字 ***
# os.remove("info") # 删除文件 ***
# 4.路径
import os
# print(os.path.abspath(r"01 今日内容.py")) # 通过相对路径获取绝对路径 ***
# print(os.path.split(os.path.abspath(r"01 今日内容.py"))) #将路径以最后一个切割(路径,文件名)
# print(os.path.dirname(r"F:s24day17 1 今日内容.py")) # 获取路径 ***
# print(os.path.basename(r"F:s24day17 1 今日内容.py")) # 获取文件名 **
# print(os.path.exists(r"F:s24day17 1 今日内容.py")) # 判断这个路径是否存在 ***
# print(os.path.isdir(r"F:s24day17")) # 判断是不是路径 ***
# print(os.path.isfile(r"01 今日内容.py")) # 判断是不是文件 ***
# print(os.path.isabs(r"F:s24day17 1 今日内容.py")) # 判断是不是绝对路径
# print(os.path.join("D:\\","ttt","bbb")) # 路径拼接 *****
# import time
# print(time.time())
# print(os.path.getatime(r"F:s24day17 4 序列化.py")) # 最后的修改时间
# print(os.path.getctime(r"F:s24day17 4 序列化.py")) # 最后的访问时间
# print(os.path.getmtime(r"F:s24day17 4 序列化.py")) # 最后的访问时间
# print(os.path.getsize(r"F:s24day09")) # 获取当前文件的大小 ***
sys
# sys -- 与python解释器交互的接口
# import sys
# if sys.argv[-1] == "alex":
# print("dsb")
# else:
# print("李业dsb")
# print(sys.argv[-1]) # *** 当前文件运行['F:/s24/day17/06 sys.py']
# import sys
# print(sys.exit(1)) #
# import sys
# print(sys.version) # 获取解释器版本
# import sys
# print(sys.path) # 添加自定义模块查找路径 *****
# import sys
# print(sys.platform) # *** 区分操作系统然后进行相关逻辑操作
hash lib
# hashlib 加密
# 加密和校验
# alex:alex123
# alex:23lw23jky321jh4gqyt1234gj8b7t # 加密后
# {"1234":23lw23jky321jh4gqyt1234gj8b7t}
# md5,sha1,sha256,sha512
# 1.只要明文相同密文就是相同的
# 2.只要明文不相同密文就是不相同的
# 3.不能反逆(不能解密) -- md5中国人破解了
# alex:alex123
# alex:b75bd008d5fecb1f50cf026532e8ae67
# print(len("b75bd008d5fecb1f50cf026532e8ae67"))
# 加密:
# 1.加密的内容
# 2.将要加密的内容转成字节
# import hashlib
# md5 = hashlib.md5()
# md5.update("alex123".encode("utf-8"))
# print(md5.hexdigest())
#
# md5 = hashlib.md5()
# md5.update("alex".encode("utf-8"))
# print(md5.hexdigest())
# md5 = hashlib.md5()
# md5.update("alex123".encode("gbk"))
# print(md5.hexdigest())
# md5 = hashlib.md5()
# md5.update("alex123".encode("shift-jis"))
# print(md5.hexdigest())
# import hashlib
# sha1 = hashlib.sha256()
# sha1.update("alex123".encode("utf-8"))
# print(sha1.hexdigest())
# md5 = hashlib.md5()
# md5.update("alex123".encode("utf-8"))
# print(md5.hexdigest())
# 最常用是的md5,平时加密的时候使用sha1
# 加盐
# 加固定盐
# import hashlib
# md5 = hashlib.md5("常鑫".encode("utf-8"))
# md5.update("alex123".encode("utf-8"))
# print(md5.hexdigest())
#
# md5 = hashlib.md5()
# md5.update("alex123".encode("utf-8"))
# print(md5.hexdigest())
# 动态加盐
# user = input("username:")
# pwd = input("password")
#
# import hashlib
# md5 = hashlib.md5(user.encode("utf-8"))
# md5.update(pwd.encode("utf-8"))
# print(md5.hexdigest())
# md5 = hashlib.md5()
# md5.update(pwd.encode("utf-8"))
# print(md5.hexdigest())
# 767db14ed07b245e24e10785f9d28e29
# f = open(r"F:s24day17python-3.6.6-amd64.exe","rb")
# import hashlib
# md5 = hashlib.md5()
# md5.update(f.read())
# print(md5.hexdigest())
# ss = "baoyuanalextaibai"
# s = "baoyuan"
# s1 = "alex"
# s2 = "taibai"
# import hashlib
# md5 = hashlib.md5()
# md5.update(ss.encode("utf-8"))
# print(md5.hexdigest())
#
#
# md5 = hashlib.md5()
# md5.update(s.encode("utf-8"))
# md5.update(s1.encode("utf-8"))
# md5.update(s2.encode("utf-8"))
# print(md5.hexdigest())
# 节省内存
# f = open(r"F:s24day17python-3.6.6-amd64.exe","rb")
# import hashlib
# md5 = hashlib.md5()
# while True:
# msg = f.read(1024)
# if msg:
# md5.update(msg)
# else:
# print(md5.hexdigest())
# break
collections
# 1.namedtuple: 生成可以使用名字来访问元素内容的tuple
# 2.deque: 双端队列，可以快速的从另外一侧追加和推出对象
# 3.Counter: 计数器，主要用来计数
# 4.OrderedDict: 有序字典
# 5.defaultdict: 带有默认值的字典
from collections import namedtuple,deque
# Point = namedtuple('tu',["a","b","c"]) # 第一个参数是元组的名字,第二参数是元组中元素的[名字,名字]
# p = Point({"keu":(1,2,3,4)}, 20,10)
# print(p)
# tu = (1,2,32,34,4)
# print(tu)
# lst = deque([1,2,3,4,5,6,7])
# lst.append(8)
# lst.appendleft(0)
# lst.pop()
# lst.popleft()
# print(lst[4])
# 队列:先进先出
# 栈:先进后出 -- 栈顶
# lst = [1,2,3,4]
# lst.append(5)
# lst.pop(0)
# 5.defaultdict: 带有默认值的字典
# from collections import defaultdict
# dic = defaultdict(list)
# dic["k1"].append(12)
# print(dic)
# li = [11,22,33,44,55,77,88,99,90]
# result = {"key1":[],"key2":[]}
# result = {}
# for row in li:
# if row > 66:
# if 'key1' not in result:
# result['key1'] = []
# result['key1'].append(row)
# else:
# if 'key2' not in result:
# result['key2'] = []
# result['key2'].append(row)
# print(result)
# from collections import defaultdict
# dic = defaultdict(set)
# li = [11,22,33,44,55,77,88,99,90]
# for i in li:
# if i > 66:
# dic["k1"].add(i)
# else:
# dic["k2"].add(i)
# print(dic)
from collections import Counter
# s = "1112233344aaa"
# s = [1,1,2,2,3,3]
# s = (1,2,3,3,4,5,6,7,78)
# print(dict(Counter(s))) # ***
# 统计元素出现的次数