- Paperback: 208 pages
- Publisher: Addison-Wesley Professional; 1 edition (Jan 1 1986)
- Language: English
- ISBN-10: 0201103311
- ISBN-13: 978-0201103311
- Product Dimensions: 23.1 x 15.5 x 2 cm
- Shipping Weight: 295 g
- Average Customer Review: 4.4 out of 5 stars See all reviews (8 customer reviews)
- Amazon Bestsellers Rank: #205,640 in Books (See Top 100 in Books)
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Product Description
Book Description
The essays in this book present programs that go beyond solid engineering techniques to be creative and clever solutions to computer problems. The programs are fun and teach important programming tecniques and fundamental design principles.
From the Back Cover
"Programming Pearls," published in Communication of the Association for Computing Machinery. The essays present programs that go beyond solid engineering techniques to be creative and clever solutions to computer problems. The programs are fun and they teach important programming techniques and fundamental design principles. Written in a engaging style, this book will appeal to people with some programming experience who want to learn more about refining their techniques. ACM Press.
0201103311B04062001
0201103311B04062001
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Most helpful customer reviews
1 of 1 people found the following review helpful
5.0 out of 5 stars
Advice that will never be outdated,
By
This review is from: Programming Pearls (Paperback)
I consider this book a classic. Written in 1986, Bentley engages in some of the best deconstruction and explanation of programming problems that I have ever seen. While it is true that the constraints he discusses are in the distant past, his methods of finding solutions will forever remain part of the programmer's toolbox.Programmers who have been raised on larger memory units and faster processors tend to ignore concepts such as frugal memory usage and efficient code. When I was a commercial coder, some of the newbies were encountering a bug they could not find. The memory bounds were being exceeded and they simply could not comprehend that they were running out of memory. Forced to fit the data within bounds, it took a great deal of effort to teach them some of the "old-style" techniques of memory management and program efficiency. To prepare for my explanations, I went back and consulted this book to brush up on some of the ideas. The topics covered are: finding efficient algorithms by solving general problems rather than specific instances, how to verify the correctness of programs, using "back of the envelope calculations" to quickly verify the effectiveness of code, how to squeeze space and some examples of programs. Bentley also refers to the book ,"How To Solve It" by George Polya, a book that should be required reading for all developing programmers. Bentley is a very good explanatory writer and I can understand why he has received awards for excellence in teaching. Until we develop intelligent robots that will write code for us, the ideas in this book will continue to be useful.
4.0 out of 5 stars
Makes a programmer think,
By
This review is from: Programming Pearls (Paperback)
I have programmed for 20 years, and there are references in this book older than that. However, this touches on the principles and that can make you think more about how you code and the impact it will have on performance. The writing style of the book can be confusing at times, and that is probably why I would not give this 5 stars. It seems like these were supposed to have been articles in some Computer periodical and put together as a book. If you are looking for a book on programming as a craft this would be a book to own.
5.0 out of 5 stars
Packed with programming wisdom,
By
This review is from: Programming Pearls (Paperback)
It's great to see they've come out with an update to this book. The essays in this book are easy to read and touch on many valuable things, such as tuning and optimization of algorithms, using mini languages to provide robust tools, doing back-of-the-envelope calculations, and much more. I have recommended this book to several beginning programmers that I know as an excellent introduction to thinking effectively about the challenges of software engineering.
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