PythonBeginner7 min read2026-03-01
Python JSON Processing: Parsing, Formatting, and Serialization
Master Python's json module: parse strings, handle files, customize encoders, and prevent KeyErrors.
Prerequisites
- Basic Python knowledge
1. Parsing and Serializing JSON
Use json.loads for strings and json.load for file streams.
python
import json
# Parsing JSON string
raw_json = '{"name": "DevFixHub", "active": true}'
data = json.loads(raw_json)
print(data["name"]) # DevFixHub
# Pretty-printing to string
formatted = json.dumps(data, indent=2)
print(formatted)Best Practices & Architecture Advice
- Use dict.get() or Pydantic to read JSON attributes defensively.
Common Mistakes to Watch Out For
- •Confusing json.load (reads file pointer) with json.loads (reads string).
Frequently Asked Questions
How do I serialize Python datetime objects to JSON?
Pass default=str to json.dumps: json.dumps(data, default=str).
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