JOHN GUTTAG PYTHON PDF

Kegor It then continues to explain the fundamentals of programming, including functions, abstraction, testing, debugging, exception handling and object-oriented OO programming. I am very pleased with the book. Customers who bought this item also bought. What other items do customers buy after viewing this item?

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Kegor It then continues to explain the fundamentals of programming, including functions, abstraction, testing, debugging, exception handling and object-oriented OO programming. I am very pleased with the book. Customers who bought this item also bought.

What other items do customers buy after viewing this item? Please try again later. In conclusion, I can strongly recommend this book provided that one reads the title in full as a manual for budding computer scientists, as well as guttga introduction to the Python programming language.

Try the Kindle edition and experience these great reading features: Please try again later. This also seems to be a good book, and uses Python as its language for examples. The best introductory CS textbook I have come across. Introduction to Computation and Programming Using Python by John Guttag The material is rid of any redundancy so that a quick learning of the essential parts about computation was made possible. The data science stuff is just to be trendy and is entirely inadequate.

The writing style, the vocabulary used, the concise and to-the-point contents, and the vast topics that are covered in this introductory book, all are to serve the purpose of teaching computational and algorithmic thinking to a nerd-to-be. This book walks you through the vast majority of computational techniques that you need to know as ugttag software engineer.

Instead this books uses Python to teach you about computation and how to think and solve problems like a computer scientist. But if you had to pick only one, this would be a great choice. Introduction to Computation and Programming Using Python: This book is written as an introduction to Computer Science and Programming aiming at preparing and educating potential Computer Scientists.

Learn more about Amazon Prime. Read reviews that mention computer science great book well written course language companion intro mit students computation edition introduction text textbook topics pythoh. With humor and historical anecdotes, John Guttag conveys the breadth and joy of computer science without compromising technical detail.

It uses Python 2. Alexa Actionable Analytics for the Web. Shopbop Designer Fashion Brands. Books by John Guttag. Obviously, you will learn more with this book if you can take the pace. Introduction to Computation and Programming Using Python. If you want to study Python, get an another book, if gtutag are an experienced Python and want to sharpen your computer science knowledge, get this book. Amazon Restaurants Food delivery from local restaurants.

It is a rigorous but eminently readable introduction to computational problem solving. I used it for on line course and gave Grand Daughter a copy for Christmas since she wanted to learn coding. To see what your friends thought of this book, please sign up. 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. Related Posts.

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John Guttag

With humor and historical anecdotes, John Guttag conveys the breadth and joy of computer science without compromise to technical detail. This book is perfect for any student who wants to explore the essence of computer science. Jeannette M. 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.

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John V. Guttag

John V. Guttag 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.

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Introduction to Computation and Programming Using Python, Revised And Expanded Edition

In , he received a doctorate in Computer Science from the University of Toronto. He was a member of the faculty at the University of Southern California from to , and joined the Massachusetts Institute of Technology faculty in From January through August , he served as head of that department. This group studies issues related to computer networks, applications of networked and mobile systems, and advanced software-based medical instrumentation and decision systems. He has also done research, published, and lectured in the areas of software engineering , mechanical theorem proving , hardware verification , compilation , software radios , and medical computing.

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