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Python Academy · Lesson

Handling Nested JSON Structures

Navigate and transform complex nested JSON objects.

Introduction

Real-world JSON is deeply nested. Knowing how to navigate, transform, and validate nested structures is essential.

Accessing Nested Keys

data['user']['address']['city'] navigates nested dicts. Use .get() at each level to handle missing keys.
import json
data = {'user': {'address': {'city': 'NYC', 'zip': '10001'}}}
print(data['user']['address']['city'])

All lessons in this course

  1. JSON Encoding and Decoding
  2. Handling Nested JSON Structures
  3. Reading CSV with csv.reader
  4. Writing CSV with csv.DictWriter
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