Quick Answer
Python data analysis libraries: NumPy (numerical computing, arrays), pandas (data manipulation, DataFrames), SciPy (scientific computing), statsmodels (statistical models). Data viz: matplotlib, seaborn, plotly. Machine learning: scikit-learn, XGBoost, LightGBM. Deep learning: TensorFlow, PyTorch. Jupyter notebooks for interactive exploration. These form the Python data science ecosystem.
Answer
NumPy for numerical computation, pandas for DataFrame-based manipulation, SciPy for scientific computing, Matplotlib and Seaborn for visualization.
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SugharaIQ Editorial Team
Verified Answer
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