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Python for Data Science - Complete Guide
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Comprehensive guide to Python programming for data analysis and ML.
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Master Python for data science with this comprehensive 580-page guide. Covers NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and TensorFlow 2.0. 50+ real-world projects with datasets included. Exercises and solutions for each chapter. Perfect for beginners transitioning to data science and intermediate programmers. Updated for Python 3.11.
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