Python------JSON and pickle data serialization

I. JSON serialization

XML is replaced by JSON, and the language conversion between different platforms can only be handled simply. complex use of pickle;

Pickle can only be used in Python, and JSON is also recognized in Java.

 info = {  "  Name   ": "   Xiaolaizi   " ,  "  age   ' : 22}f  = open ("  test.text   ", "   W   " ) f.write (str (info)) 
------------- -----------------------------------
  

Import JSON
info = {
    ' Name ': ' Xiaolaizi ',
    ' Age ': 22
}
f = open ("Test.text", "W")
F.write (Json.dumps (info))

---------------------------------------
Import Pickle
info = {
    ' Name ': ' Xiaomaizi ',
    ' Age ': 22
}
f = open ("Test.text", "WB")
F.write (Pickle.dumps (info))
#等价pickle. Dump (info,f)

f = open ("test.text","R"=  eval(f.read ()) F.close ()print(data['age')     #反序列化
-------------------------------------------

Import JSON
f = open ("Test.text", "R")
data = Json.loads (F.read ())
F.close ()
Print (data[' age ')

--------------------------------------------

Import Pickle
f = open ("Test.text","RB")
data = Pickle.loads (F.read ())
#data = Pickle.loads (f)

F.close ()
Print (data[' age ')

Python------JSON and pickle data serialization