Python

Python is the de facto language for battery data work — analytics on formation data, ML model training, factory-floor scripting, test automation, and the glue code that ties MES to ERP to the data lake. As a hard skill it requires fluency in the scientific stack (numpy, pandas, scipy, scikit-learn), the visualization libraries (matplotlib, seaborn, plotly), packaging and venv discipline, and the asyncio-vs-threading-vs-multiprocessing tradeoffs for production work. Engineers apply this when cleaning a million-row cell-formation CSV in pandas, when training an ML model to flag electrode-coating defects, and when writing the integration script that pulls daily MES exports into the analytics warehouse.

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