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Exporting NumPy arrays and scalars to JSON format for data pipelines.
Distinct from NumPy Array Integration: Focuses on the JSON output of NumPy data rather than memory integration.
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orjson is a high-performance Python library for serializing and deserializing JSON data. It functions as both a JSON parsing library and a serialization engine, converting data between native Python objects and UTF-8 encoded bytes. The project provides specialized support for converting complex Python data structures, including dataclasses, datetime objects, and NumPy arrays and scalars, into JSON format. It also allows for the insertion of pre-serialized JSON blobs into documents to maintain processing speed. The library includes capabilities for memory-efficient deserialization through key
Exports numeric arrays and scalars to JSON for scientific computing and data science pipelines.