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- Introduction to Computation and Programming Using Python
- Introduction to Computation and Programming Using Python, Third Edition
- John V. Guttag Introduction to Computation and Programming Using Python
- John V. Guttag Introduction to Computation and Programming Using Python

*The new edition of an introduction to the art of computational problem solving using Python.*

This is the 'computational thinking' book we have all been waiting for! With humor and historical. This is not 'a Python book,' although you will.

Nor is it a 'programming book,' although you will learn to program. It is a rigorous but. E] [D. D] [R. Magazine: [F. With humor and historical anecdotes, John Guttag conveys the breadth and joy of computer science without compromising technical detail. This is not 'a Python book,' although you will learn Python. Guttag is the Dugald C. Read more. Short-link Link Embed. Share from cover. Share from page:.

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This is the 'computational thinking' book we have all been waiting for! With humor and historical. This is not 'a Python book,' although you will. Nor is it a 'programming book,' although you will learn to program. It is a rigorous but. E] [D.

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Guttag Published Computer Science. 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. Save to Library. Create Alert.

An introductory text that teaches students the art of computational problem solving, covering topics that range from simple algorithms to information visualization. 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. 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. This is the 'computational thinking' book we have all been waiting for!

To browse Academia. Skip to main content. By using our site, you agree to our collection of information through the use of cookies. To learn more, view our Privacy Policy. Log In Sign Up. Download Free PDF. Introduction to Computation and Programming Using Python.

Phone or email. Don't remember me. Savuth Dav. 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. This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. 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. 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 For example, the value of 'David Guttag plays basketball'.split(' ') is ['David', 'Guttag', 'plays'.

Теперь же он был рад, что проделал это, потому что на мониторе Сьюзан скрывалось что-то очень важное. Задействованная ею программа была написана на языке программирования Лимбо, который не был его специальностью. Но ему хватило одного взгляда, чтобы понять: никакая это не диагностика. Хейл мог понять смысл лишь двух слов. Но этого было достаточно.

В первый раз в жизни. Мидж стояла на своем: - Но, сэр. Коммандер Стратмор обошел систему Сквозь строй.

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## 5 Comments

## Marcel H.

The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization.

## Maicompphupe1967

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## Sinesio B.

Introduction to. Computation and. Programming Using Python. (Spring Edition). John V. Guttag. The MIT Press. Cambridge, Massachusetts. London.

## Owen N.

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## Sabine M.

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