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Introduction to Computation and Programming Using Python by John V. Guttag (2013, Trade Paperback)

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About this product

Product Identifiers

PublisherMIT Press

ISBN-100262525003

ISBN-139780262525008

eBay Product ID (ePID)160020357

Product Key Features

Number of Pages296 Pages

Publication NameIntroduction to Computation and Programming Using Python

LanguageEnglish

Publication Year2013

SubjectProgramming / General, Programming Languages / Python

FeaturesRevised

TypeTextbook

AuthorJohn V. Guttag

Subject AreaComputers

FormatTrade Paperback

Dimensions

Item Height0.6 in

Item Weight26.8 Oz

Item Length11 in

Item Width8.5 in

Additional Product Features

Edition Number2

Intended AudienceCollege Audience

LCCN2013-010276

Dewey Edition23

IllustratedYes

Dewey Decimal005.133

Edition DescriptionRevised edition

SynopsisThis 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 MIT's 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.

LC Classification NumberQA76.73.P98G88 2013