Top 7 Python Libraries for Large-Scale Data Processing

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The article discusses Python libraries that accelerate large‑scale data processing, improving speed, scalability, and workflow management. A code update in core/tools/buildinpublic.py optimizes mempool scanning for Jupiter liquidity, reduces latency via batch RPC, filters vetted swaps, and logs failures.