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(Ebook) Introduction to Computation and Programming Using Python, Revided & Expanded by John V. Guttag ISBN 9780262525008, 0262525003

  • SKU: EBN-4728162
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Instant download (eBook) Introduction to Computation and Programming Using Python, Revided & Expanded after payment.
Authors:John V. Guttag
Pages:320 pages.
Year:2013
Editon:revised and expanded edition
Publisher:The MIT Press
Language:english
File Size:13.43 MB
Format:pdf
ISBNS:9780262525008, 0262525003
Categories: Ebooks

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(Ebook) Introduction to Computation and Programming Using Python, Revided & Expanded by John V. Guttag ISBN 9780262525008, 0262525003

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of «data science» for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MITs OpenCourseWare) and was developed for use not only in a conventional classroom but in a massive open online course (or MOOC) offered by the pioneering MIT-Harvard collaboration edX.
Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.
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