Python JSON Processing Guide

The Built-in json Module

Python comes with a robust json library.

Basic Usage

import json

data = {"name": "Python", "fast": True}

# Serialize to String
json_str = json.dumps(data) 

# Parse from String
parsed = json.loads(json_str)

# Write to File
with open('data.json', 'w') as f:
    json.dump(data, f)

# Read from File
with open('data.json', 'r') as f:
    data = json.load(f)

Advanced Features

1. Pretty Printing: json.dumps(data, indent=4)

2. Sorting Keys: json.dumps(data, sort_keys=True) (Useful for consistent hashing)

3. Custom Objects: You can't directly serialize a custom Class. You need a custom encoder.

   class User:
       def __init__(self, name):
           self.name = name
   
   def default(o):
       if isinstance(o, User):
           return {"name": o.name}
       raise TypeError
   
   json.dumps(User("Neo"), default=default)
   

Performance Alternatives

For high-performance applications, consider:

• orjson: Extremely fast, Rust-based.
• ujson: UltraJSON, historically popular for speed.