Intro To Python For Computer Science And Data Science(1st Edition)
Authors:
Paul Deitel
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 0135404673, 9780135404676
Book publisher: Pearson
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Book Price $0 : 'Intro To Python For Computer Science And Data Science' by Paul Deitel is a comprehensive guide that bridges the gap between learning programming and applying it to solve complex problems in the domains of computer science and data science. This foundational text explores the practical applications of Python programming, a leading language in data manipulation and analysis. The book effectively integrates core programming concepts with advanced topics such as data analysis, visualization, and machine learning, allowing readers to smoothly transition from novices to proficient coders. Notably, this book's 'solution manual' and 'answer key' provide clear guidance for learners seeking to understand complex topics through sample problems and exercises. With an organized 'table of content,' users can easily navigate to chapters covering specific interests, whether it be algorithms, data structures, or Python libraries such as NumPy, Pandas, and Matplotlib. The educational approach is enhanced with real-world case studies and interactive exercises, fostering an engaging learning environment. Throughout the book, high-impact keywords such as 'Python programming', 'machine learning', and 'data visualization' are strategically woven into explanations, making it an invaluable resource for both students and professionals aiming to build a robust programming foundation. The text is well-received for its clarity and structured learning path, which equips readers with the skills necessary for academic and professional success in technology-oriented fields. Deitel's pedagogical expertise shines through, empowering learners to apply computational solutions across various data-driven disciplines. This book is a must-have for aspiring data scientists and computer science enthusiasts eager to harness the full potential of Python programming. Offering a cheap yet comprehensive approach, this resource empowers learners at every level.
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The authors have done a fantastic job making a complex subject accessible. The examples provided are relatable and applicable to real-world scenarios. The book arrived quickly, and the additional membership content was definitely a plus.
































