#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:Random_lee
#pickle只能在python中使用，可以序列化函数的内存地址
#json可以在多语言中使用，但是只能做简单的序列化
# import json
import pickle
def sayhai(name):
print(‘hello‘,name)
info={
‘name‘:‘randomlee‘,
‘age‘:‘24‘,
‘sex‘:‘man‘,
‘func‘:sayhai
}
# f=open(‘test.text‘,‘w‘)
# # print(json.dumps(info))
# f.write(json.dumps(info))
# f.close()
f=open(‘test.text‘,‘bw‘)
print(pickle.dumps(info))
f.write(pickle.dumps(info))
f.close()
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:Random_lee
import pickle
def sayhai(name):
print(‘hello‘,name)
info={
‘name‘:‘randomlee‘,
‘age‘:‘24‘,
‘sex‘:‘man‘,
‘func‘:sayhai
}
f=open(‘test1.text‘,‘wb‘)
pickle.dump(info,f) #f.write(pickle.dumps(info))
f.close()
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:Random_lee
# import pickle
import json
# def sayhai(name):
# print(‘hello‘,name)
info={
‘name‘:‘randomlee‘,
‘age‘:‘24‘,
‘sex‘:‘man‘,
‘func‘:‘sayhai‘
}
f=open(‘test3.text‘,‘w‘)
f.write(json.dumps(info))
# info[‘age‘]=22
# f.write(json.dumps(info))
f.close()
