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• Libraries: NumPy, SciPy, pandas, matplotlib, seaborn, statsmodels, scikit-learn.
• Pros: Powerful, extensible, reproducible scripts; active community; suitable for advanced analysis and automation.
• Start: Use Anaconda distribution + JupyterLab.

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• Batch processing and automation via Python, C, or LabTalk scripting.