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Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.
- Sales Rank: #27404 in Books
- Brand: imusti
- Published on: 1996-09-01
- Format: International Edition
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.19" w x 6.00" l, 2.05 pounds
- Binding: Paperback
- 688 pages
- MIT Press MA
Amazon.com Review
Abelson and Sussman's classic Structure and Interpretation of Computer Programs teaches readers how to program by employing the tools of abstraction and modularity. The authors' central philosophy is that programming is the task of breaking large problems into small ones. The book spends a great deal of time considering both this decomposition and the process of knitting the smaller pieces back together.
The authors employ this philosophy in their writing technique. The text asks the broad question "What is programming?" Having come to the conclusion that programming consists of procedures and data, the authors set off to explore the related questions of "What is data?" and "What is a procedure?"
The authors build up the simple notion of a procedure to dizzying complexity. The discussion culminates in the description of the code behind the programming language Scheme. The authors finish with examples of how to implement some of the book's concepts on a register machine. Through this journey, the reader not only learns how to program, but also how to think about programming.
About the Author
Hal Abelson is Class of 1922 Professor of Computer Science and Engineering at Massachusetts Institute of Technology and a fellow of the IEEE. He is a founding director of Public Knowledge, and the Free Software Foundation. Additionally, he serves as co-chair for the MIT Council on Educational Technology.
Gerald Jay Sussman is the Matsushita Professor of Electrical Engineering in the Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. He is also the coauthor of Structure and Interpretation of Computer Programs (MIT Press, second edition, 1996).
Howard C. Hughes is Professor of Psychology at Dartmouth College.
Most helpful customer reviews
16 of 17 people found the following review helpful.
The best programming book ever, if you're a certain kind of person
By Jaime Silvela
This was the book that made me want to be a computer programmer. When I read it, I had no knowledge of programming beyond a little Pascal, and rudiments of C.
It had a massive impact on me. It consumed me, to the point where I had difficulty finishing assignments for my classes (I did not study CS as an undergrad). What the book does is give you a vocabulary and knowledge about programming that is hard to find anywhere else.
The text, the examples and exercises, have a mathematical flavor, and that may turn off many potential readers, who would rather gadget around than find elegant solutions for the 8-queens puzzle or efficient algorithms to compute Fibonacci numbers.
I've lent this book to several friends who were interested in learning to program, and in all cases they have returned it to me, saying it went over their heads.
There seem to be two camps in computer programming:
- the gadgeteers, who want to hook devices together and make them do fun things
- the scientists, who appreciate computing as a medium in itself
This book is for the second type.
0 of 0 people found the following review helpful.
Not for beginners. No comments in the code examples.
By Jack
Although used as an introductory text at MIT, this book is definitely not for the average new programmer. From the very beginning, there's a big focus on recursion and recursion can be a tricky topic even for experienced coders. But what makes the book EXTRA difficult for anyone is the complete lack of comments in the code examples. A college freshman writing uncommented code should get an F. Also the procedure and variable names that are not as clear as they should be. From its reputation I expected some kind of inspiring book on the zen of software theory, but instead it was a bit of a slog. It was written as a textbook after all.
Realize that there are no answers for most of the exercises. You won't get the full value out of the book unless you buy the companion instructor's manual.
20 of 20 people found the following review helpful.
Computer Science...Art?
By B. Dean
You need it, too. I won't pretend to have more useful insight into the art and craft of programming, or into SICP's relationship to it, than Paul Graham or Peter Norvig- if you want to know which reviews to trust, look these cats up.
The discussion in the reviews usually concludes that this is the book that separates the computer scientists from the mere programmers. There is a definite logic to this. If you want a book that will have you churning out code that does something helpful in half an hour(because you don't think the several ways to calculate the Fibonacci Sequence are helpful), by all means, pick up Learning Perl or just read the Python documentation. They are great tools. If, however, you want to tool up on problem-solving technique a whole level or three higher up, SICP is for you. The Wizard Book is about learning to think better.
Here is where I diverge from the idea that this book is for only computer scientists, though. I am an artist, graduated from college with a BA in art, going to graduate school for an MFA. SICP is one of the books that changed how I work and think. It will make you a better programmer if you read (and reread (and reread)) it in the same way that learning Latin will make you understand language itself in a whole new way. I use ideas from SICP constantly, to design software, but also to design staircases. The book is slow-going, no doubt about it, but you'll have a whole new mental toolset at the end.
One caveat- this book is freely distributed in its entirety on MIT's website. I still bought a copy, though: who knows how long this internet thing will last, but SICP is going to be relevant forever.
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