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#1.对象序列化（serialize）： # 将对象这种抽象概念转化为字节或者字符串这种可以被计算机直接识别的数据的过程 #2.对象反序列化： #
将字符串或者字节数据转化为抽象的对象 #3.持久化： # 将数据永久保存 # Python中如何序列化，反序列化，持久化 # pickle # json
#pickle：函数 # 是python官方提供的内置模块，将对象进行序列化和反序列化 # pickle.dump(obj)
#讲对象转化为字节数据，对象序列化 # pickle.dump() # # pickle.loads(bytes) #将字节数据转换为对象，对象的反序列化 #
pickle.load() # 用法例如:同时write了pickle.txt import pickle users =
['yjl','西北易烊千玺','科比门徒'] f = open("pickle.txt", "r") users.append('风车扣篮')
print(users) users.insert(2,'能里能外') print(users) pickle.dump(users,
open('pickle.txt', 'bw')) #写,写至pickle.txt pickle.load(users, open('pickle.txt',
'br')) #读取出 # json: # 字符串：字典格式 #{["name":"yjl","age":22,"gender":"男"], #
["name":"易烊千玺","age":22,"gender":"男"]} # #json字符串： a =[1,2,3,4,5,6] import json
aa=json.dumps(a) print(aa) # user: 22岁 男 陕西延安 # <users> # <user> #
<user>yjl</name> # <age>22</age> # <gender>男</gender> # <address>陕西延安</address>
# </user> # <user> # <user>易烊千玺</name> # <age>22</age> # <gender>男</gender> #
<address>陕西西安</address> # </user> # json.dump(object) # json.dump() #
json.load(bytes) # json.load()
