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JOHN GUTTAG PYTHON BOOK PDF

John Guttag has spent over thirty years teaching undergraduate computer science Introduction to Computation and Programming Using Python (MIT Press). 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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Goodreads helps you keep track of books you want to read. Want to Read saving…. Want to Read Currently Reading Read. Refresh and try again. Guttab Preview See a Problem? Thanks for telling us about the problem. Return to Book Page. 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 mod 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. 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: Introduction to Computation and Programming Using Python can serve as a stepping-stone to bool advanced computer puthon 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

I chose to read and review this book purely based on the title rather than doing my normal level of research. I was interested in learning more about the Python language, partly because I use Pythonn on a regular basis Jython is an implementation of Python, written in Java. Had I done my research more fully, I would have read this paragraph, which clearly outlines the gittag and content of the book: The difference may sound quite subtle, and perhaps a bit negative.

However, that is the precise opposite of what I want to suggest – this is an excellent book, vook that I would have dearly loved to have when Pythkn first started to learn the subject of computer science back in the s. The book begins by introducing Python, including the basic elements of the language such as objects, expressions, typing, variables, branches and strings. Much of this is very translatable to other languages and would be useful to anyone learning the basic fundamentals of computer programming, regardless of the language.

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It then continues to explain the fundamentals of programming, including functions, abstraction, testing, debugging, exception handling and object-oriented OO programming. At that point, the book dives into the science element of computer science, including algorithmic complexity, probability theory, graphing and statistical analysis. In its entirety, the book should be considered an excellent introduction to computer science and programming – as mentioned previously, I’d have loved to have this book when I started out in information science some 30 years ago.

However, if one’s objective is to learn Mohn, it will be necessary to supplement this book with some specific Python guttwg, although the first few chapters will definitely help to establish context and understand the fundamental building blocks of the language. Even one such as I, who has been working in the IT industry for nearly 30 years, got a huge amount of value from this book, as much of the content provided some good reminders of things that I’d since forgot, including probability and statistical analysis.

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 an introduction to the Python programming language.

It’s a pythom book, a bit too academic and too abstract explaining OOP If read while following the MITx lecture it’s handy but still complicated gutatg an Introduction, because it’s full of computer science jargon that doesn’t explain anything to novice.

If you are not already a programmer and want to learn python, read “Python the hard way” and the educational materials from gutfag Google dev center. A practical bopk to computation from MIT Press. This book walks you through the vast majority of computational techniques that you need to know as a software engineer.

It covers a wide range of traditional topics such as computational complexity, basic data structures, Object-oriented programming and dynamic programming. Although it uses Python, this is not a python book!

Mar 11, Ji rated it it was amazing Shelves: This is obviously one of the best written technical books. The teaching style is fun and straightforward.

The material is rid of any redundancy so that a quick learning of the essential parts about computation was made possible. Definitely worth reading and re-reading.

John Guttag Python Book Finger Exercise 5

May 29, Loukas Arvanitis rated it it was amazing. Mar 04, Neal rated it really liked it. Good college level overview. Feb 09, Jovany Agathe rated it it was ok. It is terse and fast.

If you require a more leisurely pace, John Zelle’s Python Programming, an Introduction to Computer Science takes pages to cover what this book covers in pages, and then has a short chapter just touching on what this book covers more deeply in the remaining pages. Zelle’s book is also a popular first year CS text, but obviously for a different audience. Obviously, you will learn more with this book if you can take the pace. I boug i am very pleased with the book. I bought Zelle’s book also and have used it for extra exercises and the occasional alternative explanation.

Jan 17, Steven rated it really liked it. An introduction to sotware engineering and data science for beginners, who are generally assumed to be non-specialist engineering or science students with a background in algebra and the scientific pyhton.

Data science is maybe taking it too far: Both halves of the book use Python. It’s a college textbook, used in the MIT subject 6. This edition of the book is based on Python 2. As in many MIT presentations, guttay not bkok lot of hand-holding — things move fast and you may have to supplement with other material to fill in leaps in the exposition. But the overall arc of the book provides a solid course of study for those just getting started with computer programming and computational data analysis, two skills no scientist or engineer should be without.

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May 01, Carl rated it it was amazing Recommends it for: People looking to learn Computer Science. Read this book for the Mitx course on edx. It is a very good introduction to computer science and python programming. And the e 6.

I would not have liked to have taken the course without this book. The only thing about this book was it was a little bit heavy on the academic side and mathematical side. While i understand that it is a guthag of learning CS, this book will not be easy someone new on the subject. That being sa Read this book for the Mitx course on edx. That being said the only parts that stumped me were the parts where it was mathematically based.

Like on the chapters about probability, where my knowledge was laughably bad. Luckily Khan Academy has some courses. The best introductory CS textbook I have hohn across. Very didactic and ideal for all audiences. The book is extremely easy to read and offers a very broad perspective. Nevertheless, its readers will obtain a very solid foundation.

It covers traditional OO topics as well as basic statistics and data manipulation using Python. Great material for anyone trying to learn computer programming or the python language itself. Jan 04, Tom Meyer rated it really liked it. Though I preferred Zelle’s introduction to the subject, pythkn was an interesting and very useful text I used for pyython edX series. Unsurprisingly, it has a much more math-centered focus, which was interesting. The chapter on computational complexity was downright fascinating.

Mar 01, Becky marked it as to-read Shelves: This is some tough reading, but well worth it. I want to log some more hours practicing Python basics then return to pyhon one for another go.

I got about 30 pages in and found it very challenging johnn maybe johh much so for a beginner. This johhn is written in a relatively dense fashion, but when read in conjunction with the MITx 6. It helped me get a better grasp of some of the key concepts from the 6. Jun 26, Adam Dodd rated it really liked it. I’m enjoying this book, and the moreso gutag I am now using it in conjunction with the edX course that it accompanies.

The course is excellent and the book has a sufficiently entertaining style that makes the foothills of learning to program less tedious than they might otherwise be. If you know a bit python syntax, this is the best self-contained intro book to computer and data science.

Nov 18, Gary Boland rated it really liked it. Great book, some great examples on running trials. Jim rated it really liked it Oct 01, Lynne Daniels rated it it was amazing Jan 05, Oliver Bogler rated it really liked it Jan 10, Josh rated it really liked it Apr 27,

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