Introduction to Computation and Programming Using Python: With Application to Understanding Data (The MIT Press) [John V. Guttag] on *FREE*. Editorial Reviews. Review. This is the ‘computational thinking’ book we have all been waiting for! With humor and historical anecdotes, John Guttag conveys the. An introduction to computer science as a tool to solve real-world analytical problems using Python A Notion of computation; The Python programming language; Some simple algorithms; Testing and debugging John Guttag. Dugald C.
|Published (Last):||2 November 2016|
|PDF File Size:||2.67 Mb|
|ePub File Size:||6.26 Mb|
|Price:||Free* [*Free Regsitration Required]|
Amazon Music Stream millions of songs.
Introduction to Computation and Programming Using Python
Amazon Inspire Digital Educational Resources. Josh rated it really liked it Apr 27, It is very well written and an absolute must-read if taking the courses. English Choose a language for shopping. Jim rated it really liked it Oct 01, If you like books and love to build cool products, we may be looking for you. Want to Read saving….
It then continues to explain the fundamentals of programming, including functions, abstraction, testing, debugging, exception handling and object-oriented OO programming. Saaya rated it really liked it Aug 15, This book has a lot of clarifications and examples that will make your progress on the course so much easier. There are no discussion anr on this book yet.
I bought Zelle’s book also and have used it for extra exercises and the occasional alternative explanation. Open Preview See a Problem? The best introductory CS textbook I have come across. To ask other readers questions about Introduction to Computation and Programming Using Pythonplease sign up.
Review Orogramming is the ‘computational thinking’ book we have all been waiting for! It’s a college textbook, used in the MIT subject 6. Buy the selected items together Guttag item: This is a great book that covers a lot of ground on the field of computer science.
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 johm topics: Goodreads helps you keep track of books you want to read.
It’s a good book, a bit too academic and too abstract explaining OOP Great material for anyone trying to learn inyroduction programming or the python language itself. Both halves of the book use Python. He fired the six shots, and then painted the targets around them.
Go read the table of contents. Jun 26, Adam Dodd rated it really liked it.
It provides students with skills that will enable them to make productive use of computational techniques, including some of inrroduction 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. Zelle’s book is also a popular first year CS text, but obviously for a different audience.
It covers a wide range of traditional topics such as computational complexity, basic data structures, Object-oriented programming and dynamic programming. 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.
Introduction to Computation and Programming Using Python by John Guttag
Like on the chapters about probability, where my knowledge was laughably bad. Data science is maybe taking it too far: This is not ‘a Python book,’ although you will learn Python. Also, there are free editions of this book available elsewhere, but they don’t cover Python 3, and this book does.
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. This is some tough reading, but well worth it.