Python Tutorial

Introduction

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Python Tutorial

Introduction

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Python JSON

JSON stands for JavaScript Object Notation — a lightweight format to store and share data. Python provides a built-in json module that lets you easily work with JSON data.

A. Convert JSON String to Python Object

Let’s say we receive a JSON-formatted string (maybe from a web server). We can convert that string into a regular Python object using json.loads().

				
					import json

json_data = '["Apple", "Banana", "Cherry"]'
fruits = json.loads(json_data)
print(fruits)

Output:

				
					['Apple', 'Banana', 'Cherry']

JSON list becomes a Python list.

B. Convert Python Object to JSON String

If we want to store or send data, we can convert a Python object into a JSON string using json.dumps().

				
					import json

colors = ['Cyan', 'Magenta', 'Yellow', 'Black']
json_string = json.dumps(colors)
print(json_string)

Output:

				
					["Cyan", "Magenta", "Yellow", "Black"]

Python list becomes a JSON-formatted string.

C. Type Conversion: Python to JSON

Python and JSON have different names for similar types. When converting, Python types are automatically mapped to equivalent JSON types.

				
					import json

print(json.dumps(10))            # int
print(json.dumps(3.14))          # float
print(json.dumps("Learn"))       # str
print(json.dumps(True))          # bool
print(json.dumps(False))         # bool
print(json.dumps(None))          # NoneType

Output:

				
					10
3.14
"Learn"
true
false
null

Notice how True becomes true, None becomes null, and strings are always in double quotes.

Summary

  • Use json.loads() to convert a JSON string into a Python object.

  • Use json.dumps() to convert Python data into a JSON string.

  • Python and JSON types are automatically mapped during conversion.

This is especially useful in APIs, file storage, or any time you need to exchange structured data.

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