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Popular Python packages for data science: 1. NumPy: For numerical operations and working with arrays. 2. Pandas: For data manipulation and analysis, especially with data frames. 3. Matplotlib and Seaborn: For data visualization. 4. Scikit-learn: For machine learning algorithms and tools. 5. TensorFlow and PyTorch: Deep learning frameworks. 6. SciPy: For scientific and technical computing. 7. Statsmodels: For statistical modeling and hypothesis testing. 8. NLTK and SpaCy: Natural Language Processing libraries. 9. Jupyter Notebooks: Interactive computing and data visualization. 10. Bokeh and Plotly: Additional libraries for interactive visualizations.

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