Introduction to Computation and Programming Using Python pdf epub mobi txt 电子书下载 2025

☆☆☆☆☆

作者简介：

John V. Guttag

1999年至2004年任麻省理工学院电气工程与计算机科学系主任（此前担任了5年的副主任）。Guttag教授目前是计算机科学与人工智能实验室网络及移动系统组的联合负责人。此外，他还进行软件工程、机器定理证明、硬件验证等领域的研究以及培训工作，并出版过相关主题的图书。Guttag教授获得美国布朗大学英语专业学士学位、应用数学硕士学位，获得多伦多大学计算机科学博士学位。

译者简介：

梁杰

北京航空航天大学计算机科学与技术专业大四学生。热爱开源、JavaScript、Python，喜欢做各种各样有趣的事情。

出版者:The MIT Press

作者:John V. Guttag

出品人:

页数:320

译者:

出版时间:2013-7

价格:USD 25.00

装帧:Paperback

isbn号码:9780262525008

丛书系列:

图书标签:

Python
计算机
CS
编程
programming
计算机科学
算法
计算机科学入门与科普

下载链接在页面底部

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 复制链接

想要找书就要到图书目录大全

book.wenda123.org

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

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. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (or MOOC) offered by the pioneering MIT--Harvard collaboration edX. 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.

具体描述

读后感

评分☆☆☆☆☆

书是一名大四生翻译的，有些地方表达的不地道，姑且随手找出几处吐吐槽。 p1: [从内存的角度来说，一台普通的计算机可能有几百GB] 我从来没见过一台普通计算机的内存个能有几百GB，我猜测原文应该用的是memory，这里翻译成存储设备比较合适。 p3:[当一个整数整数存在整数立...

评分☆☆☆☆☆

MIT本科 6.0001和6.0002课程指定教材，MIT的教授结合教学自己编写的书，非常适合跟open course 结合使用，原版书要几百块，中文正版不到一百，在家里也能上MIT的课，一定记得去官网下载课件和习题，讲课视频B站上有，目前MIT open course上发布的是2016年秋季学期的课程，版本p...

评分☆☆☆☆☆

用户评价

评分☆☆☆☆☆

五星打给本书的配套MOOC公开课。书的内容与课程基本重合，有一些细节上的补充。课程真是绝了，从习题的设计就能看出大胡子教授非常非常用心，简直是为人类文明的传播做贡献。课程链接为http://mooc.guokr.com/course/244/Introduction-to-Computer-Science-and-Programming-Using-Python/

评分☆☆☆☆☆

上课教材。比较杂，但是感觉用处好像也不是特别大。。。OOP那一块还不错

评分☆☆☆☆☆

明白，简洁，有用，有趣，适合入门学生。跟EdX上MITx - 6.00.1x 和6.00.2x两门课结合起来学效果更佳。书比课程内容更全面讨论更深入，但课程上有书中没有的精心设计的练习题。

评分☆☆☆☆☆

作为入门写的很不错，很细致，而且后半部分涉及到了很多关于统计学的知识点