Pickle modules and JSON modules

Do not name the file as a module name

#pickle模块

Serialization of

Import Pickle

DIC = {' name ': ' Dodo ', ' age ': 18}

Print (Pickle.dumps (DIC)) #转成了bytes类型

With open (' A.pickle ', ' WB ') as F: #存

F.write (Pickle.dumps (DIC))

# Simple Method

Pickle.dump (Dic,open (' B.pickle ', ' WB ')

Deserialization

With open (' A.pickle ', ' RB ') as F: #取

Date = Pickle.loads (F.read ())

Print (date)

# Simple Method

res = pickle.load (open (' B.pickle ', ' RB '))

Print (RES)

"""

Note: Pickle can serialize arbitrary py data types

When serializing a function, be aware that the serialized function name is the memory address

When changing the file to read the pickle file stored in the function method, because the function is not in the current file

So the function body is not loaded into the memory, so the execution of the return error

"""

#json模块

"""

Serialization: The program runs in memory run, memory power loss data is gone, memory data, save to the hard disk

In the hard disk is the file operation, the file is stored in a string, there may be a dictionary in memory, list

And so, to store it as it is, use an intermediate process, which is to serialize and eventually become a string stored to the hard disk

In

Why serialize: 1. Persist program Running state

2. Cross-platform data transfer

"""

"""

Types supported by JSON

Dictionary, reshape, string, list, bool, NULL

Pickle supports all Python types

"""

Pickle modules and JSON modules