Serialization is the process of transforming data into a format that can be stored or transmitted and then recreating it. In Python, you can serialize data using the `pickle` module or the `json` module.
1. Using `pickle` module:
The `pickle` module in Python is used for serializing and de-serializing Python object structures. Here is an example: \`\`\`python import pickle data = { ‘a’: [1, 2.0, 3, 4+6j], ‘b’: (“string”, u“unicode string”), ‘c’: None } # Serializing with open(‘data.pickle’, ‘wb’) as f: pickle.dump(data, f) # De-serializing with open(‘data.pickle’, ‘rb’) as f: loaded\_data = pickle.load(f) print(loaded\_data) \`\`\`1. Using `json` module:
The `json` module in Python is used for serializing and de-serializing a Python object structure into a JSON format. \`\`\`python import json data = { ‘a’: [1, 2.0, 3, 4+6j], ‘b’: (“string”, u“unicode string”), ‘c’: None } # Serializing with open(‘data.json’, ‘w’) as f: json.dump(data, f) # De-serializing with open(‘data.json’, ‘r’) as f: loaded\_data = json.load(f) print(loaded\_data) \`\`\`The main differences between `pickle` and `json` are that `pickle` is specific to Python and can serialize more types of data, while `json` is language-independent and only serializes a subset of Python’s types.
Note: The `pickle` module is not secure against erroneous or maliciously constructed data. Never unpickle data received from an untrusted or unauthenticated source.
