Chang Xiangyu is a Chinese statistics scholar whose main research interests lie in data science and machine learning methods. His publicly available personal information is limited, and the only work confirmed in the library is Python Data Science Practice. Judging from the subject of this book, Chang focuses on the practical side of data science, seeking to combine a statistical perspective with the Python programming tools for readers who wish to handle data hands-on and understand the modeling process. As a writer, he follows the common style of technical books that emphasize operability, with content centered on methods and applications rather than abstract concepts. Because public material is limited, further details about his education, positions, and full body of work cannot be given. His research field and the positioning of his book suggest an interdisciplinary orientation, bringing statistical training into the context of programming practice. For beginners, such a work helps build connections between tool use and statistical thinking, and thus offers some reference value within the programming and design category.
