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When programmers list their favourite 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.

What remains the same in this edition is Bentley’s focus on the hard core of programming problems and his delivery of workable solutions to those problems. Whether you are new to Bentley’s classic or are revisiting his work for some fresh insight, the book is sure to make your own list of favourites.

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From the Publisher

Programmer on lap top with copy of Programming Pearls

A Must-Read for Every Working and Aspiring Programmer

This classic is on just about every single must-read list for programmers including lists featured on Lifehacker, Career Karma, DZone, Coding Jojo, Geeks for Geeks, and more.

"Since programming is really about problem solving, you’ll appreciate the thought process and 'back of the envelope' solutions that Jon Bentley shares in Programming Pearls (2nd Edition). Every chapter ends with a number challenges that are often used in technical job interviews, so make this book part of your job prep."

—Lifehacker's list of "14 Great Ways to Teach Yourself Code"

Editorial Reviews

Amazon.com Review

Fourteen years after it was first issued, C++ expert Jon Bentley reinvents a true classic with the second edition of his Programming Pearls. Completely revised and brought up to date with all new code examples in C and C++, this book remains an exceptional tutorial for learning to think like a programmer.

The "pearls" in question center not only on choosing the right algorithms (like binary searches, sorting techniques, or sparse arrays) but also on showing how to solve problems effectively. Each chapter frames a particular programming task--such as sorting numbers, creating anagrams, or counting the words in a block of text--many drawn from Bentley's experiences in his long career as a developer. The book traces the process of arriving at a fast, efficient, and accurate solution, along with code profiling to discover what works best. After refining the correct answer, each chapter enumerates programming principles that you can use on your own.

The author also challenges you to think like an engineer, and each chapter ends with about a dozen problems to get you thinking creatively about design issues. (Sidebars on such historical topics as the first computer solutions to computer chess, spell-checking, and even architectural design help create a perspective on successful problem solving and make for a truly educational and enjoyable tour of how to become a better programmer.) Bentley also asks the reader to think analytically about the world with "back of the envelope" estimation techniques drawn from engineering. Appendices list the algorithms and code rules covered in the book, plus some sample solutions.

Fans of the first edition of this title will be pleased to see this favorite computer text brought up to date for today's faster hardware. Whether you want to improve your command of algorithms or test your problem-solving skills, the new version of Programming Pearl is a challenging, instructive, and thoroughly entertaining resource. --Richard Dragan

Topics covered: Programming and problem-solving tutorial, sorting algorithms, merge sort, bit vectors, binary searches, program correctness and testing, improving performance, engineering and problem-solving techniques, performance estimates, designing for safety, divide-and-conquer and scanning algorithms, tuning code, tips for more efficient memory usage, insertion sort, quicksort algorithms, sparse arrays, searching algorithms, binary search trees, heaps, priority queues, searching text, and generating random text.

From the Inside Flap

Computer programming has many faces. Fred Brooks paints the big picture in

The Mythical Man Month; his essays underscore the crucial role of management

in large software projects. At a finer grain, Steve McConnell teaches good programming

style in Code Complete. The topics in those books are the key to good software

and the hallmark of the professional programmer. Unfortunately, though, the

workmanlike application of those sound engineering principles isn't always thrilling

-- until the software is completed on time and works without surprise.

About the Book
The columns in this book are about a more glamorous aspect of the profession:

programming pearls whose origins lie beyond solid engineering, in the realm

of insight and creativity. Just as natural pearls grow from grains of sand that

have irritated oysters, these programming pearls have grown from real problems

that have irritated real programmers. The programs are fun, and they teach important

programming techniques and fundamental design principles.

Most of these essays originally appeared in my ''Programming Pearls'' column

in Communications of the Association for Computing Machinery. They were

collected, revised and published as the first edition of this book in 1986.

Twelve of the thirteen pieces in the first edition have been edited substantially

for this edition, and three new columns have been added.

The only background the book assumes is programming experience in a high-level

language. Advanced techniques (such as templates in C++) show up now and then,

but the reader unfamiliar with such topics will be able to skip to the next

section with impunity.

Although each column may be read by itself, there is a logical grouping to

the complete set. Columns 1 through 5 form Part I of the book. They review programming

fundamentals: problem definition, algorithms, data structures and program verification

and testing. Part II is built around the theme of efficiency, which is sometimes

important in itself and is always a fine springboard into interesting programming

problems. Part III applies those techniques to several substantial problems

in sorting, searching and strings.

One hint about reading the essays: don't go too fast. Read them carefully,

one per sitting. Try the problems as they are posed -- some of them look easy

until you've butted your head against them for an hour or two. Afterwards, work

hard on the problems at the end of each column: most of what you learn from

this book will come out the end of your pencil as you scribble down your solutions.

If possible, discuss your ideas with friends and colleagues before peeking at

the hints and solutions in the back of the book. The further reading at the

end of each chapter isn't intended as a scholarly reference list; I've recommended

some good books that are an important part of my personal library.

This book is written for programmers. I hope that the problems, hints, solutions,

and further reading make it useful for individuals. The book has been used in

classes including Algorithms, Program Verification and Software Engineering.

The catalog of algorithms in Appendix 1 is a reference for practicing programmers,

and also shows how the book can be integrated into classes on algorithms and

data structures.

The Code
The pseudocode programs in the first edition of the book were all implemented,

but I was the only person to see the real code. For this edition, I have rewritten

all the old programs and written about the same amount of new code. The programs

are available at this book's web site. The code includes much of the scaffolding

for testing, debugging and timing the functions. The site also contains other

relevant material. Because so much software is now available online, a new theme

in this edition is how to evaluate and use software components.

The programs use a terse coding style: short variable names, few blank lines,

and little or no error checking. This is inappropriate in large software projects,

but it is useful to convey the key ideas of algorithms. Solution 5.1 gives more

background on this style. The text includes a few real C and C++ programs, but

most functions are expressed in a pseudocode that takes less space and avoids

inelegant syntax. The notation for i = 0, n) iterates i from

0 through n-1. In these for loops, left and right parentheses denote

open ranges (which do not include the end values), and left and right square

brackets denote closed ranges (which do include the end values). The phrase

function(i, j) still calls a function with parameters i and j,

and arrayi, j still accesses an array element.

This edition reports the run times of many programs on ''my computer'', a 400MHz

Pentium II with 128 megabytes of RAM running Windows NT 4.0. I timed the programs

on several other machines, and the book reports the few substantial differences

that I observed. All experiments used the highest available level of compiler

optimization. I encourage you to time the programs on your machine; I bet that

you'll find similar ratios of run times.

To Readers of the First Edition
I hope that your first response as you thumb through this edition of the book

is, ''This sure looks familiar.'' A few minutes later, I hope that you'll observe,

''I've never seen that before.''

This version has the same focus as the first edition, but is set in a larger

context. Computing has grown substantially in important areas such as databases,

networking and user interfaces. Most programmers should be familiar users of

such technologies. At the center of each of those areas, though, is a hard core

of programming problems. Those programs remain the theme of this book. This

edition of the book is a slightly larger fish in a much larger pond.

One section from old Column 4 on implementing binary search grew into new Column

5 on testing, debugging and timing. Old Column 11 grew and split into new Columns

12 (on the original problem) and 13 (on set representations). Old Column 13

described a spelling checker that ran in a 64-kilobyte address space; it has

been deleted, but its heart lives on in Section 13.8. New Column 15 is about

string problems. Many sections have been inserted into the old columns, and

other sections were deleted along the way. With new problems, new solutions,

and four new appendices, this edition of the book is 25 percent longer.

Many of the old case studies in this edition are unchanged, for their historical

interest. A few old stories have been recast in modern terms.

Acknowledgments for the First Edition
I am grateful for much support from many people. The idea for a Communications

of the ACM column was originally conceived by Peter Denning and Stuart Lynn.

Peter worked diligently within ACM to make the column possible and recruited

me for the job. ACM Headquarters staff, particularly Roz Steier and Nancy Adriance,

have been very supportive as these columns were published in their original

form. I am especially indebted to the ACM for encouraging publication of the

columns in their present form, and to the many CACM readers who made

this expanded version necessary and possible by their comments on the original

columns.

Al Aho, Peter Denning, Mike Garey, David Johnson, Brian Kernighan, John Linderman,

Doug McIlroy and Don Stanat have all read each column with great care, often

under extreme time pressure. I am also grateful for the particularly helpful

comments of Henry Baird, Bill Cleveland, David Gries, Eric Grosse, Lynn Jelinski,

Steve Johnson, Bob Melville, Bob Martin, Arno Penzias, Marilyn Roper, Chris

Van Wyk, Vic Vyssotsky and Pamela Zave. Al Aho, Andrew Hume, Brian Kernighan,

Ravi Sethi, Laura Skinger and Bjarne Stroustrup provided invaluable help in

bookmaking, and West Point cadets in EF 485 field tested the penultimate draft

of the manuscript. Thanks, all.

Acknowledgments for the Second Edition
Dan Bentley, Russ Cox, Brian Kernighan, Mark Kernighan, John Linderman, Steve

McConnell, Doug McIlroy, Rob Pike, Howard Trickey and Chris Van Wyk have all

read this edition with great care. I am also grateful for the particularly helpful

comments of Paul Abrahams, Glenda Childress, Eric Grosse, Ann Martin, Peter

McIlroy, Peter Memishian, Sundar Narasimhan, Lisa Ricker, Dennis Ritchie, Ravi

Sethi, Carol Smith, Tom Szymanski and Kentaro Toyama. I thank Peter Gordon and

his colleagues at Addison-Wesley for their help in preparing this edition.

0201657880P04062001

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Customer reviews

4.4 out of 5 stars
393 global ratings

Customers say

Customers find the book's content excellent, describing it as a collection of pearls of programming wisdom. They appreciate its informative nature, with one customer noting it helps with problem solving and another mentioning its challenging exercises. The writing style receives positive feedback for being well written. The readability and language receive mixed reviews, with some customers finding the language dry.
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51 customers mention content, 46 positive, 5 negative
Customers praise the content of the book, describing it as excellent and full of pearls of programming wisdom, with one customer noting it's the best read for understanding computer science.
I bought this for technical interview prep. Its a great book even for someone with little algorithm knowledge....Read more
...a lot topic related in the enterprise a classic and good book for people want to know a little more about algRead more
...But the book is good, like brand newRead more
The book is ok, just wasn't what he wanted. Not the fault of the book. just misunderstanding between he & I.Read more
18 customers mention informative, 17 positive, 1 negative
Customers find the book informative, with one mentioning it helps with problem solving, while another notes it provides challenging exercises and insights into algorithms.
...The articles are very informative, detailed, and well written.Read more
...'s virtualized machines and interpreted languages, but the advise is timeless for niches like embedded software engineering and databases development.Read more
...be an interesting complement to algorithm textbooks and coding interview questions/tips, in the sense that this book offers initiatives on how to...Read more
...loops (especially precomputing low-order cases) to using accumulators and caching, all with an eye to underlying memory, communication and CPU...Read more
5 customers mention writing style, 5 positive, 0 negative
Customers appreciate the writing style of the book, describing it as well written, with one customer noting it is a neat problem-solving book.
Beautifully written, concise work!!...Read more
...The articles are very informative, detailed, and well written.Read more
...The problem solving techniques presented in this well written text will benefit me as I pursue my degree, and this book remains relevant....Read more
...The writing style is clear and fun. Programming Pearls is not a usual book teaching new programming concepts....Read more
8 customers mention readability, 5 positive, 3 negative
Customers have mixed opinions about the book's readability, with some finding it engaging enough to read over and over, while others describe it as a chore to read.
This is my favorite book to read and re-read. Words of wisdom from an era that was not spoiled by abundant memoryRead more
...It is a tough read, though, so be prepared to take a little in at a time.Read more
A true classic that can be read over and over.Read more
...The book is definitely more up-to-date and readable....Read more
5 customers mention language, 2 positive, 3 negative
Customers have mixed opinions about the language of the book, with some finding it dry.
...While Bentley emphasizes important fundamentals, his language is rather esoteric....Read more
...And it's made clearly, concisely and with compelling examples....Read more
Very great concepts, but the language is a little dry and it is difficult to keep up the readers interest....Read more
...in this book can be summarized or formulated by concise and easily understood sentences. But this book use examples to make the problem complicate....Read more
I got a poor quality edition
4 out of 5 stars
I got a poor quality edition
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.
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Top reviews from the United States

  • Reviewed in the United States on July 27, 2002
    Format: PaperbackVerified Purchase
    Bentley's classic, "Programming Pearls", makes an important point, namely that you won't get good performance without careful coding and profile-based tuning. And it's made clearly, concisely and with compelling examples. The choice of language (C), and the choice of problems (those from computer science 101 we all think we know cold) betrays the sophistication of Bentley's analyses.
    Suppose, for the sake of argument, that you have a binary search that's holding up your loop. Or your Huffman coding just isn't snappy enough? "How is that possible?", you might say, fresh out of computer-science 201, "Didn't we just prove these algorithms are optimal?" Well yes, asymptotically up to an arbitrary constant multiplier. But this is the real world, and your code needs to go faster. If this sounds like your predicament, pull up a chair and read "Programming Pearls"; if it's not, you might wonder what all the fuss is about.
    Next, fire up your favorite hardware (Sparc or x86 or PowerPC), favorite language (Perl, Java, or even C), favorite release of that language, along with your favorite interpreter or compiler (Hotspot or standard? GCC or Visual C++). And you'll need a profiler; might as well treat yourself to a good one if you're serious. Then fire up your code with a representative range realistic test data and observe what happens. Function by function, byte by byte. Then try to be as clever as Bentley in (a) figuring out why, (b) trying a range of alternatives, and (c) making it all go faster with minor tuning. Typically, you'll find a single bottleneck taking an order of magnitude more time than everything else, and work on that. Repeat until fast enough.
    As well as this simple, yet surprisingly effective and realistic methodology, Bentley provides a range of concrete tips on making things go faster, from tweaking data structures to unfolding loops (especially precomputing low-order cases) to using accumulators and caching, all with an eye to underlying memory, communication and CPU resources.
    Real code that has to run fast, like the code that we write at my current company for signal processing, speech recognition and speech synthesis, typically looks like the end-product of Bentley's refactorings. And it gets that way following exactly the path he lays out: analyze the problem, choose the right algorithm (or the right few to evaluate), and then tune it up using profiling.
    "Programming Pearls" is the beginning of the road. You will need to look elsewhere for topics such as compression for memory saving, numerical algorithms, effective concurrency and memory sharing, efficient buffered I/O, garbage collection, and the wide range of dynamic programming and heuristic techniques.
    31 people found this helpful
    Report
  • Reviewed in the United States on January 24, 2014
    Format: PaperbackVerified Purchase
    In my experience it is a good book for students , and also for professionals, who want the excellence in programming. All the concepts can be applied in every platform.

    I followed Jon since he started writing at the CACM with his column "Programming Pearls". Now, in the second edition it is actualized, and I have all those columns with theory and exercises together.
  • Reviewed in the United States on April 25, 2004
    Format: PaperbackVerified Purchase
    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"
    19 people found this helpful
    Report
  • Reviewed in the United States on June 16, 2008
    Format: PaperbackVerified Purchase
    If this book doesn't get you excited about programming, I don't know what will. Bentley writes about programming problems that are as glamorous as hollywood. The collective wisdom of the Bell labs super-stars shines through in the background information and problems which the author picked.

    I went back and read some of the columns from the ACM magazine which this book originated from. The book is definitely more up-to-date and readable.

    I cannot over-emphasize the value of trying out the problems in the book without cheating and looking at the answers or hints. Great way to prepare programming interview questions, whether you're an interviewer or interviewee.
    5 people found this helpful
    Report
  • Reviewed in the United States on June 15, 2025
    Format: PaperbackVerified Purchase
    nice book, well printed
  • Reviewed in the United States on July 2, 2010
    Format: PaperbackVerified Purchase
    If you want to learn about the latest web programming frameworks, design patterns, J2EE, .NET, CSS, RoR, etc. then please stay away from this book. Once you think you mastered it all, became a professional programmer with also a nice CS degree under your belt come back and start to read this book for pure pleasure and wisdom. It is with high probability that you'll have both and more than you could have imagined.

    Bentley's classic work is still relevant but not in ways most programmers will imagine at the beginning. You'll probably never go and write your own search routines and re-implement classical data structures (you'll use the one that comes with the standard libraries of your language of choice) but you'll always meet some problems which will puzzle you with interesting constraints. This is what Programming Pearls is all about. Study the examples for fun and maybe laugh at them for their simplicity but then remember to applied the strong principles in that book to your daily technical problems (programming related or not).
    8 people found this helpful
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Top reviews from other countries

  • Mr. Adrian Mcmenamin
    5.0 out of 5 stars This will change the way you think
    Reviewed in the United Kingdom on October 26, 2014
    Format: PaperbackVerified Purchase
    This book does require a bit of effort: the first time I picked it up I thought: "I'm way beyond this". But that was mistaken - because although you may feel you are been treated to simple stuff, in reality it is profound. Truly, a book that stays with you for your programming life.
  • Himanshu
    5.0 out of 5 stars must read book for any software programmer
    Reviewed in India on February 18, 2025
    i am reading this after almost 12 years, it is a must for any software programmer
  • Jerome Williams
    5.0 out of 5 stars Will surely make you a better programmer, regardless of experience
    Reviewed in Canada on August 25, 2016
    Format: PaperbackVerified Purchase
    Wow, there are so many simple tricks and detailed explanations. Will surely make you a better programmer, regardless of experience.
  • I. Breschi
    5.0 out of 5 stars Excellent !
    Reviewed in France on November 22, 2014
    Format: PaperbackVerified Purchase
    I have not finished reading it but I really appreciate the format and the content.
    It is something to read and read again to refresh old knowledge and discover new ideas.

    Thanks!
  • Alessandro Martin
    5.0 out of 5 stars Un fantastico libro
    Reviewed in Spain on July 19, 2015
    Format: PaperbackVerified Purchase
    Este libro suele aparecer en listas del tipo "10 mejores libros de programacion" y por muy buenas razones: es realmente una caja de sabiduria y un clasico. Lastima que no se consiga en version digital.