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Most data structures are represented in memory as tables and arrays and are well handled by Python and its ecosystem. However, this doesnt include a massive amount of data that is in nested, variable-length structures, such as JSON objects. Typically a programmer would need to handwrite slow and brittle Python code to make inferences from theseor write glue code to convert/regularize the data before use.