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Programming Pearls (2nd Edition)
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The first edition of Programming Pearls was one of the most influential books I read early in my career, and many of the insights I first encountered in that book stayed with me long after I read it. Jon has done a wonderful job of updating the material. I am very impressed at how fresh the new examples seem. - Steve McConnell When programmers list their favorite books, Jon Bentley's collection of programming pearls is commonly included among the classics. Just as natural pearls grow from grains of sand that irritate oysters, programming pearls have grown from real problems that have irritated real programmers. With origins beyond solid engineering, in the realm of insight and creativity, Bentley's pearls offer unique and clever solutions to those nagging problems. Illustrated by programs designed as much for fun as for instruction, the book is filled with lucid and witty descriptions of practical programming techniques and fundamental design principles. It is not at all surprising that Programming Pearls has been so highly valued by programmers at every level of experience. In this revision, the first in 14 years, Bentley has substantially updated his essays to reflect
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Product details
Paperback: 256 pages
Publisher: Addison-Wesley Professional; 2 edition (October 7, 1999)
Language: English
ISBN-10: 0201657880
ISBN-13: 978-0201657883
Product Dimensions:
6.2 x 0.7 x 9.2 inches
Shipping Weight: 12.8 ounces (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
91 customer reviews
Amazon Best Sellers Rank:
#62,548 in Books (See Top 100 in Books)
This book can be an interesting complement to algorithm textbooks and coding interview questions/tips, in the sense that this book offers initiatives on how to start the thought process with algorithms and data structures to tackle real problems, and also small tips to use and common traps to avoid. As a former C/C++ user and current Python user, I feel this book suits better to C/C++ coders who have the need to implement some basic algorithms by themselves instead of just using existing libraries. For others, the content of this book may not be immediately applicable to your coding interviews or daily works, but rather like a mental practice. It takes some time for you feel the power and confidence this book gives you after reading it, but it worths.
I received a poor quality book labeled "Circulation of this edition outside the Indian subcontinent is UNAUTHORIZED".Pages look like they were printed on an office printer/copier.
It is short and easy to read. The sections are separated enough that you can read it in chunks. There is no need to read it all at once. Several of the examples in the book are things that I could imagine encountering in the real world.
This book is really very dated, yet in another way it's timeless. I used to have a copy but it was lost in various moves around the world. I have been able to keep my copy of a book referred to in this one, Kerhighan and Plauger's "Software Tools." Bentley's book is about programming back in the '80s, and uses programming languages that are not much used any more (Fortran, Cobol). On the other hand the design methods and ways of thinking about problems are as valid and useful as ever. I loved this book, but have to admit that it calls for more dedication than I now have.
Programming pearls is a compendium of 15 columns previously published in Communications of the ACM. The columns cover a wide range of topics related to programming: from requirements gathering to performance tuning. The focus is primarily on coding techniques and algorithms.Each column has been reorganized as a chapter. Chapters usually start with the presentation of a practical problem. Then various solutions are presented and are used as lessons to be learned. The writing style is clear and fun.Programming Pearls is not a usual book teaching new programming concepts. Although it contains good and sometimes quite novel ideas, the aim of the book is not to teach something new. For example, the search and sort algorithms presented are well-known. The aim is to remind programmers to think hard before starting writing code. The book has great chapter on back-of-the-envelope computation for example which is useful when comparing various solutions. The easy solutions to the column's problems are usually very slow. The `good' solutions are lightening fast but require thinking hard about the problems. I would recommend having a book about algorithms nearby when reading Programming Pearls.The book is full of little (and some not so little) exercises that are given throughout the chapters. Solutions or hints are given at the end. The exercises usually take a few hours to do properly and are a great resource. Again the emphasis is on making the reader think.If you consider programming a repetitious activity, Programming Pearls will provoke you into thinking harder about finding elegant solutions. I recommend this book.
Item is exactly as described.
I bought the 2nd edition of the book.This book takes you to the Basics of Programming: Problem definition, Algorithm design , choosing the correct data structures, Assertions, Performance considerations during Design and coding, Code Tuning, Squeezing the space.Though the examples are mainly based on searching and sorting and other primitive programming problems, the fundamental concepts and conclusions at the end of each column, are still valuable and hold true as they are 2 decades ago. The examples and the exercises are challenging and enjoyable. But, don't expect things related to modern programming like related to High Level Programming languages or Databases, this is purely a Basics book focussing on techniques of solving the problems the simplest and the best way.Some of the gem quotes or conclusions from the book are:"Coding skill is just one small part of writing correct programs. The majority of the task is problem definition, algorithm design and data structure selection.""Defining the problem is about ninety percent of the battle"Characteristics of a good Aircraft(or a good program) - "Simple, few parts, easy to maintain, very strong""A designer knows he has arrived perfection not when there is no longer anything to add, but when there is no longer anything to takeaway.""Good programmers sit back and wait for an insight rather than rushing forward with their first idea""A proper view of data does indeed structure programs. Before writing code good programmers thoroughly understand the input, the output and the intermediate data structures around"
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