Python for data analysis

(9781449369415 / 41752453) - Web programming - O'Reilly - xii, 376 - Sebastopol, United States - O'Reilly Media - Dimensions: 178 x 233 x 17.78mm | 589.67g - Format: 392 pages - Height: 180 mm - Spine width: 22 mm
Princeton University Press (9780691198309) | Revised throughout, Python code, Machine Learning in Astronomy, Survey Telescope, Astronomical surveys, Sets and code, Complex astronomical Data sets
Explore Python for Data Analysis, 3rd edition by Wes McKinney – a practical guide to data wrangling with pandas, NumPy, and Jupyter. Learn real‑world techniques for cleaning, transforming, and visualizing data efficiently.
Explore how mathematics underpins modern security—from graph theory and geometry to spatial analysis. Practical examples, Python code, and real‑world applications make complex concepts accessible for researchers, analysts, and enthusiasts.
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