作者簡介:
John V. Guttag
1999年至2004年任麻省理工學院電氣工程與計算機科學係主任(此前擔任瞭5年的副主任)。Guttag教授目前是計算機科學與人工智能實驗室網絡及移動係統組的聯閤負責人。此外,他還進行軟件工程、機器定理證明、硬件驗證等領域的研究以及培訓工作,並齣版過相關主題的圖書。Guttag教授獲得美國布朗大學英語專業學士學位、應用數學碩士學位,獲得多倫多大學計算機科學博士學位。
譯者簡介:
梁傑
北京航空航天大學計算機科學與技術專業大四學生。熱愛開源、JavaScript、Python,喜歡做各種各樣有趣的事情。
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.
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...
評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...
評分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...
評分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...
評分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...
作為入門寫的很不錯,很細緻,而且後半部分涉及到瞭很多關於統計學的知識點
评分老頭子的課簡直一絕,學的膜拜MIT
评分作為入門寫的很不錯,很細緻,而且後半部分涉及到瞭很多關於統計學的知識點
评分五星打給本書的配套MOOC公開課。書的內容與課程基本重閤,有一些細節上的補充。課程真是絕瞭,從習題的設計就能看齣大鬍子教授非常非常用心,簡直是為人類文明的傳播做貢獻。課程鏈接為http://mooc.guokr.com/course/244/Introduction-to-Computer-Science-and-Programming-Using-Python/
评分老頭子的課簡直一絕,學的膜拜MIT
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