Free Ebook Programming Pearls (2nd Edition)
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Programming Pearls (2nd Edition)
Free Ebook Programming Pearls (2nd Edition)
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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.
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From the Inside Flap
Computer programming has many faces. Fred Brooks paints the big picture inThe Mythical Man Month; his essays underscore the crucial role of managementin large software projects. At a finer grain, Steve McConnell teaches good programmingstyle in Code Complete. The topics in those books are the key to good softwareand the hallmark of the professional programmer. Unfortunately, though, theworkmanlike 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 realmof insight and creativity. Just as natural pearls grow from grains of sand thathave irritated oysters, these programming pearls have grown from real problemsthat have irritated real programmers. The programs are fun, and they teach importantprogramming techniques and fundamental design principles. Most of these essays originally appeared in my ''Programming Pearls'' columnin Communications of the Association for Computing Machinery. They werecollected, revised and published as the first edition of this book in 1986.Twelve of the thirteen pieces in the first edition have been edited substantiallyfor this edition, and three new columns have been added. The only background the book assumes is programming experience in a high-levellanguage. 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 nextsection with impunity. Although each column may be read by itself, there is a logical grouping tothe complete set. Columns 1 through 5 form Part I of the book. They review programmingfundamentals: problem definition, algorithms, data structures and program verificationand testing. Part II is built around the theme of efficiency, which is sometimesimportant in itself and is always a fine springboard into interesting programmingproblems. Part III applies those techniques to several substantial problemsin 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 easyuntil you've butted your head against them for an hour or two. Afterwards, workhard on the problems at the end of each column: most of what you learn fromthis 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 atthe hints and solutions in the back of the book. The further reading at theend of each chapter isn't intended as a scholarly reference list; I've recommendedsome 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 inclasses 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 anddata 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 rewrittenall the old programs and written about the same amount of new code. The programsare available at this book's web site. The code includes much of the scaffoldingfor testing, debugging and timing the functions. The site also contains otherrelevant material. Because so much software is now available online, a new themein 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 morebackground on this style. The text includes a few real C and C++ programs, butmost functions are expressed in a pseudocode that takes less space and avoidsinelegant syntax. The notation for i = 0, n) iterates i from0 through n-1. In these for loops, left and right parentheses denoteopen ranges (which do not include the end values), and left and right squarebrackets denote closed ranges (which do include the end values). The phrasefunction(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 400MHzPentium II with 128 megabytes of RAM running Windows NT 4.0. I timed the programson several other machines, and the book reports the few substantial differencesthat I observed. All experiments used the highest available level of compileroptimization. I encourage you to time the programs on your machine; I bet thatyou'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 bookis, ''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 largercontext. Computing has grown substantially in important areas such as databases,networking and user interfaces. Most programmers should be familiar users ofsuch technologies. At the center of each of those areas, though, is a hard coreof programming problems. Those programs remain the theme of this book. Thisedition 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 Column5 on testing, debugging and timing. Old Column 11 grew and split into new Columns12 (on the original problem) and 13 (on set representations). Old Column 13described a spelling checker that ran in a 64-kilobyte address space; it hasbeen deleted, but its heart lives on in Section 13.8. New Column 15 is aboutstring problems. Many sections have been inserted into the old columns, andother 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 historicalinterest. 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 Communicationsof the ACM column was originally conceived by Peter Denning and Stuart Lynn.Peter worked diligently within ACM to make the column possible and recruitedme for the job. ACM Headquarters staff, particularly Roz Steier and Nancy Adriance,have been very supportive as these columns were published in their originalform. I am especially indebted to the ACM for encouraging publication of thecolumns in their present form, and to the many CACM readers who madethis expanded version necessary and possible by their comments on the originalcolumns. 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, oftenunder extreme time pressure. I am also grateful for the particularly helpfulcomments of Henry Baird, Bill Cleveland, David Gries, Eric Grosse, Lynn Jelinski,Steve Johnson, Bob Melville, Bob Martin, Arno Penzias, Marilyn Roper, ChrisVan Wyk, Vic Vyssotsky and Pamela Zave. Al Aho, Andrew Hume, Brian Kernighan,Ravi Sethi, Laura Skinger and Bjarne Stroustrup provided invaluable help inbookmaking, and West Point cadets in EF 485 field tested the penultimate draftof the manuscript. Thanks, all. Acknowledgments for the Second Edition Dan Bentley, Russ Cox, Brian Kernighan, Mark Kernighan, John Linderman, SteveMcConnell, Doug McIlroy, Rob Pike, Howard Trickey and Chris Van Wyk have allread this edition with great care. I am also grateful for the particularly helpfulcomments of Paul Abrahams, Glenda Childress, Eric Grosse, Ann Martin, PeterMcIlroy, Peter Memishian, Sundar Narasimhan, Lisa Ricker, Dennis Ritchie, RaviSethi, Carol Smith, Tom Szymanski and Kentaro Toyama. I thank Peter Gordon andhis colleagues at Addison-Wesley for their help in preparing this edition. 0201657880P04062001
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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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