INTRODUCTION TO COMPUTATION AND PROGRAMMING USING PYTHON JOHN GUTTAG PDF

Introduction to Computation and Programming Using Python: With Application to Understanding Data (The MIT Press) [John V. Guttag] on *FREE*. Introduction to Computation and Programming Using Python [John V. Guttag] on *FREE* shipping on qualifying offers. This book introduces. Introduction to Computation and Programming Using Python (MIT Press) [John V. Guttag] on *FREE* shipping on qualifying offers. This book.

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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. This book introduces students with little or no prior programming experience to the art of computational problem compitation using Python and various Python libraries, including PyLab.

Introduction to Computation and Programming Using Python

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: This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.

This is the ‘computational thinking’ book we have all been waiting for! With humor and historical anecdotes, John Guttag conveys the breadth and joy of computer science without compromising technical detail. John Guttag is an extraordinary teacher and an extraordinary writer.

Introduction to Computation and Programming Using Python by John Guttag

This is not ‘a Python book,’ although you will learn Python. Nor is it a ‘programming book,’ although you will learn to program. Guttag is the Dugald C. Would you like to tell us about a lower price?

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Customers who bought this item also bought. Page 1 of 1 Start over Page 1 of 1. How to Think Like a Computer Scientist.

Review This is the ‘computational thinking’ book we have all been waiting for! Don’t have a Kindle? Try the Kindle edition and experience these great reading features: Is this feature helpful? Comphtation you for your feedback. Share your thoughts with other customers. Write a customer review. See all customer images.

Read reviews that mention computer science great book inttroduction written course language companion intro mit students computation edition introduction text textbook topics thinking. Showing of 30 reviews.

Top Reviews Most recent Top Reviews. There was a problem filtering reviews kohn now. Please try again later. Kindle Edition Verified Purchase. If you’re taking MITx 6. This xomputation has a lot of clarifications and examples that will make your progress on the course so much easier.

Also, there are free editions of this book available elsewhere, but they don’t cover Python 3, and this book does. Well worth the money! I chose this book for teaching a small intro CS class in Ccomputation 3after reviewing a lot of other books. There’s other good, practical outlook in the book. Go read the table of contents. I wish the introduction of OOP were a little easier for beginners. I enjoy Guttag’s footnotes and musings. This is a great book that covers a lot of ground on the field of computer science.

Don’t expect it to be a step by step guide of how to program in the Python language, or how to use its multiple libraries.

Instead this computaton uses Python to teach you about computation and how to think and solve problems like a computer scientist. Sintaxis, semantics, algorithms and computational complexity are some of the topics you can expect to see in this book, and even though, at some point I had to spent intrkduction a bit of time rereading to grasp some of the concepts, if you have the patience and time, is well worth it!

Finger exercises coding exercises really give you a chance to put the knowledge you acquire to good use. The course and compuattion book are both great! This book is simply amazing. Its purpose is more computer and data science than learning the python language. It is an extensive introduction which dives into stochastic models and inferential statistics.

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It is really rare to find these topics covered in a book meant for beginners. And you won’t believe it but it is fun to read! This book is a supplement for 6. It is very well written and an absolute must-read if taking the courses.

This is a great book about computer science, but it’s a pity that this book now second edition with a lot of courses and students used it doesn’t follow Python coding convention.

If you want to study Python, ypthon an another book, if you are an experienced Python and want to sharpen your computer science knowledge, get this book. Superb content, as one might expect from MIT. An excellent companion to the MITx: I’ll hold onto this one versus selling as used, as is my typical MO after finishing with coursework.

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