Intro To Python For Computer Science And Data Science(1st Global Edition)
Authors:
Paul Deitel, Harvey Deitel
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 1292364904, 978-1292364902
Book publisher: Pearson
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Book Price $0 : Intro to Python for Computer Science and Data Science by Paul Deitel and Harvey Deitel is a comprehensive educational resource that serves as both a programming manual and a gateway into the world of data science utilizing Python. The book is structured to provide an in-depth understanding of Python programming essentials, imperative for students and professionals in computer science and data science domains. Through a rich table of contents, the book covers Python’s syntax, semantics, and introduces readers to machine learning techniques such as linear regression, clustering, and neural networks. Additionally, it expands into AI applications, showing the practical implementations of these algorithms using popular libraries like TensorFlow and Pandas. Concepts such as data visualization, file manipulation, and sorting algorithms are methodically explained, encouraging practical understanding and problem-solving skills. The authors thoughtfully include a solution manual and answer key, offering readers immediate feedback and means to test their understanding against expected outcomes. Readers praise the text for its clarity and practicality, making it a staple for anyone looking to bridge the gap between programming and data science. The book has been well-received in educational circles for its meticulous approach and holistic coverage. Regardless of existing proficiency, the tailored examples and projects ensure that both beginner and intermediate learners gain actionable insights into Python’s application in data analytics. The author's cheap approach ensures that complex theories become accessible to everyone.
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