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Analyzing multi-gigabyte JSON files locally

I’ve had the pleasure of having had to analyse multi-gigabyte JSON dumps in a project context recently. JSON itself is actually a rather pleasant format to consume, as it’s human-readable and there is a lot of tooling available for it. JQ allows expressing sophisticated processing steps in a single command line, and Jupyter with Python and Pandas allow easy interactive analysis to quickly find what you’re looking for.
However, with multi-gigabyte files, analysis becomes quite a lot more difficult. ....

Apache Beam , Command Line ,

ViperGPT: Visual Inference via Python Execution for Reasoning

ViperGPT: Visual Inference via Python Execution for Reasoning. ....