How to use the pickle and JSON libraries in Python?

9 months ago

William Carter

2 minutes

In Python, both the pickle and JSON libraries are commonly used for serializing and deserializing data.

The pickle library is used to serialize Python objects into byte streams for storing on disk or transmitting over a network. To use the pickle library, follow these steps:

import pickle

# 序列化数据
data = {'name': 'Alice', 'age': 30}
with open('data.pickle', 'wb') as f:
    pickle.dump(data, f)

# 反序列化数据
with open('data.pickle', 'rb') as f:
    data = pickle.load(f)
print(data)

The JSON library is used for serializing Python objects into JSON format strings for storing on disk or transmitting over a network. To use the JSON library, follow these steps:

import json

# 序列化数据
data = {'name': 'Alice', 'age': 30}
json_str = json.dumps(data)
with open('data.json', 'w') as f:
    json.dump(data, f)

# 反序列化数据
with open('data.json', 'r') as f:
    data = json.load(f)
print(data)

It is important to note that data serialized with the pickle library is in a Python-specific format and can only be used in a Python environment, whereas JSON is a universal data representation format that can be used for data exchange between different programming languages. Therefore, if you need to exchange data between different languages, it is recommended to use the JSON library.