Serialization and deserialization in Python

Before, in learning Python, always confused the Pickle and JSON module serialization and the use of the inverse of the example, the recent idle time to re-examine the two modules, is basically to understand the difference between them.

Two modules for serialization,

• JSON, used to convert between string and Python data types
• Pickle for conversion between Python-specific types and Python data types

The JSON module provides four functions: dumps, dump, loads, load

The Pickle module provides four functions: dumps, dump, loads, load

Look at the following example, maybe you can understand the difference between them

ImportPickledata= ['AA','BB','cc']#dumps converts data into a string that is known only in Python language in a special formP_str =pickle.dumps (data)Print(P_STR)#loads converting pickle data to Python's structureMes =pickle.loads (P_STR)Print(MES)#dump converts the data into a string that is known only in the Python language in a special form and writes the fileWith open ('TMP.PW','WB') as F:pickle.dump (data,f)#load reads data from the data file and transforms it into a python structureWith open ('TMP.PW','RB') as F:Print(Pickle.load (f))

The dump and load operations in JSON and pickle modules are actually the processing of encoding and decoding data.

• encoding : Converting a python object encoding into a JSON string json.dumps ()
• decoding : Converting JSON format strings to Python objects json.loads ()

Serialization and deserialization in Python