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Introduction

JSON (JavaScript Object Notation) is a lightweight format for storing and exchanging data. It’s widely used in APIs, configuration files, and data storage. Python has a built-in json module that makes handling JSON simple and efficient.

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1. Importing the JSON Module

import json

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2. Converting Python Objects to JSON (Serialization)

import json

person = {
    "name": "Alice",
    "age": 25,
    "city": "Paris"
}

# Convert Python dict to JSON string
json_data = json.dumps(person)
print(json_data)

Output:

{"name": "Alice", "age": 25, "city": "Paris"}

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3. Converting JSON to Python Objects (Deserialization)

json_str = '{"name": "Bob", "age": 30, "city": "London"}'

# Convert JSON string to Python dict
person_dict = json.loads(json_str)
print(person_dict["name"])   # Output: Bob

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4. Working with JSON Files

Write JSON to File:

with open("data.json", "w") as f:
    json.dump(person, f)

Read JSON from File:

with open("data.json", "r") as f:
    data = json.load(f)
    print(data)

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5. Pretty Printing JSON

print(json.dumps(person, indent=4))

Output:

{
    "name": "Alice",
    "age": 25,
    "city": "Paris"
}

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6. Real-World Example: JSON from an API

import requests
import json

response = requests.get("https://api.github.com")
data = response.json()

print(data["current_user_url"])

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✅ Summary

• Use the json module to serialize (dumps, dump) and deserialize (loads, load) JSON.
• JSON is useful for APIs, configs, and data exchange.
• Supports reading/writing JSON files.
• Works seamlessly with third-party APIs.

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