JSON in Python

Learn JSON deeply in Python: structure, rules, parsing, serialization, validation, deep cloning, and real-world backend usage.

Introduction to JSON

JSON (JavaScript Object Notation) is a lightweight data-interchange format. In Python, JSON is handled using the built-in json module.

1. What is JSON?

JSON is a text-based data format.

JSON Data Types

JSON supports a limited set of data types for cross-language compatibility.

1. Supported Types

Allowed JSON data types.

JSON Syntax Rules

JSON must follow strict syntax or parsing will fail.

1. Important Rules

Must follow strictly.

Converting Python Dictionary to JSON (json.dumps)

json.dumps converts Python dictionary into JSON string.

1. Basic Serialization

Convert dict to JSON string.

2. Pretty Printing

Use indent parameter.

Converting JSON to Python Dictionary (json.loads)

json.loads converts JSON string into Python dictionary.

1. Basic Parsing

Convert JSON string to dict.

Handling Invalid JSON

Invalid JSON raises json.JSONDecodeError.

1. Safe Parsing with try/except

Prevent crashes.

Deep Cloning Using JSON

JSON-based cloning works for simple JSON-compatible data.

1. Deep Clone via dumps + loads

Traditional deep clone.

Validating JSON

Validation checks whether string is valid JSON syntax.

1. Basic Validation Function

Check JSON syntax.

2. Validation vs Data Correctness

Syntax vs business rules.