• pickle:
  • Serializes (pickles) Python objects into a binary format.
  • Can handle complex Python objects (e.g., custom objects, NumPy arrays).
  • Less human-readable.
• json:
  • Serializes objects into JSON format (text-based).
  • Suitable for data exchange between systems.
  • Human-readable and widely used.

Example:

import pickle
import json

data = {"name": "Alice", "age": 30}

# Pickle
with open('data.pkl', 'wb') as file:
    pickle.dump(data, file)

# JSON
with open('data.json', 'w') as file:
    json.dump(data, file)