Data Serialization in Python

Data Serialization in Python is a method which enables the users to perform a range of exciting functions. Learn more about this module here.

Parameter Details
Using or , it is the method that objects are being Serialized/Unserialized. You probably
pickle cPickle
protocol
want to use here, which means the newest method.
pickle.HIGHEST_PROTOCOL

Data Serialization in Python using JSON

JSON is a cross language, widely used method to serialize data

Supported data types : int, float, boolean, string, list and dict. See -> JSON Wiki for more

Here is an example demonstrating the basic usage of JSON:

import json
families = (['John'], ['Mark', 'David', {'name': 'Avraham'}])

Dumping it into string

json_families = json.dumps(families)
[["John"], ["Mark", "David", {"name": "Avraham"}]]
Dumping it to file
with open('families.json', 'w') as json_file:
json.dump(families, json_file)

Loading it from string

json_families = json.loads(json_families)

Loading it from file

with open('families.json', 'r') as json_file:
json_families = json.load(json_file)

See JSON-Module for detailed information about JSON.

Data Serialization in Python using Pickle

Here is an example demonstrating the basic usage of pickle:

Importing pickle try:
import cPickle as pickle # Python 2 except ImportError:
import pickle # Python 3
Creating Pythonic object:
class Family(object):
def init(self, names):
self.sons = names
def str(self):
return ' '.join(self.sons)
my_family = Family(['John', 'David'])

Dumping to string

pickle_data = pickle.dumps(my_family, pickle.HIGHEST_PROTOCOL)

Dumping to file

with open('family.p', 'w') as pickle_file:
pickle.dump(families, pickle_file, pickle.HIGHEST_PROTOCOL)

Loading from string

my_family = pickle.loads(pickle_data)

Loading from file

with open('family.p', 'r') as pickle_file:
my_family = pickle.load(pickle_file)
See Pickle for detailed information about Pickle.

WARNING: The oļ¬ƒcial documentation for pickle makes it clear that there are no security guarantees. Don’t load any data you don’t trust its origin.

Learn More

LEAVE A REPLY

Please enter your comment!
Please enter your name here