現場で使える! Python科学技術計算入門 NumPy/SymPy/SciPy/pandasによる数値計算・データ処理手法 AI & TECHNOLOGY

The product, "Introduction to Python Science and Technology Computing," has garnered a mixed reception among customers, particularly those venturing into scientific computation and data processing with Python. Many users praise the book for its focus on critical packages such as NumPy, SymPy, SciPy, and Pandas, recognizing it as a useful resource for acquiring foundational knowledge essential for developing simulators and handling numerical calculations. Readers have found the explanations concise and accessible, with many expressing a sense of motivation and eagerness to learn after exploring the book's content. On the other hand, the book is described as being aimed at true beginners in Python, which may leave those with previous programming experience feeling underwhelmed. Some reviewers suggest that other learning resources, such as O'Reilly's publications, provide a more systematic approach to the subject matter. Criticism has been directed at the lack of detailed explanations and the omission of certain code segments, which can hinder beginners who rely on comprehensive guidance. As a result, while the book serves as a convenient reference that users can write in and use as a notebook, its simplicity can sometimes result in a lack of necessary depth. In summary, "Introduction to Python Science and Technology Computing" seems well-suited for novice programmers but may not meet the expectations of those with more advanced programming backgrounds who expect a deeper dive into the material. **