توضیحات
This updated edition of the Python Data Science Handbook provides an in-depth look into the tools and techniques used in modern data science. It introduces readers to Python’s core data libraries — including NumPy for numerical computation, Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning. The book also discusses Jupyter Notebooks as an interactive environment for experimentation and analysis. Each chapter includes real-world examples that teach how to clean, analyze, and visualize data efficiently. With a balance of theory and practice, this edition helps data scientists, analysts, and Python developers build a solid foundation for working with large and complex datasets in AI and analytics projects.
نقد و بررسیها
هنوز بررسیای ثبت نشده است.