توضیحات
Written by Wes McKinney, the creator of the Pandas library, Python for Data Analysis provides a complete introduction to using Python for real-world data manipulation and analysis. The book covers everything from loading and cleaning data to exploring and visualizing complex datasets. Readers learn how to use NumPy for numerical operations, Pandas for structured data handling, and Matplotlib for visualization. It also introduces time series analysis, data aggregation, and performance optimization techniques. Through clear explanations and practical examples, the book equips readers with the tools and skills to turn raw data into actionable insights, making it ideal for data analysts, scientists, and Python developers.
نقد و بررسیها
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