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Building Robust Object-Oriented Python Applications and Libraries

JSON Serialization

Explore JSON serialization in Python, focusing on serializing common object types like dictionaries and lists, managing nested data, and efficiently processing large datasets using newline-delimited JSON. Understand type hinting and the limitations of static type checking for JSON validation to effectively handle serialization tasks.

We'll cover the following...

The JSON format can serialize a number of commonly used Python object classes, including:

  • None
  • Boolean
  • Float and integer
  • String
  • Lists of compatible objects
  • Dictionaries with string keys and compatible objects as values

The compatible objects can include nested structures. This dictionary-within-list and dictionary-within-dictionary recursion can allow JSON to represent very complex things.

We might consider a theoretical (but invalid) type hint like the following:

JSON = Union[None, bool, int, float, str, List['JSON'], Dict[str, 'JSON']]
...