Loading Pydantic models from JSON without running out of memory

This technical article explains the high memory usage when loading large JSON files into Pydantic models and provides solutions. It demonstrates how to significantly reduce memory consumption by switching from Pydantic's default JSON loader to the incremental ijson parser and further by using dataclasses with slots, addressing a common performance problem in Python development.

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