This list of books are ONLY the books that have been ranked on the lists that are aggregated on this site. This is not a comprehensive list of all books by this author.

1. 1. Python For R Users

   

   A concise, practical guide aimed at helping experienced R programmers quickly learn Python for data analysis by mapping R concepts and workflows to Python equivalents. It uses side-by-side examples and recipes to show data import, cleaning and transformation (dplyr → pandas), visualization (ggplot2 → matplotlib/seaborn/plotnine), statistical analysis and common machine‑learning tasks (scikit‑learn), plus tips on idiomatic Python, environment setup and package choices to ease the transition.

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