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Top data-structures books mentioned on stackoverflow.com

Clean Code

Robert C. Martin

An extremely pragmatic method for writing better code from the start, and ultimately producing more robust applications.

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Java concurrency in practice

Brian Goetz, Tim Peierls

Provides information on building concurrent applications using Java.

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Domain-driven Design

Eric Evans

Describes ways to incorporate domain modeling into software development.

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Douglas Crockford

Describes the reliable features of JavaScript, covering such topics as syntax, objects, functions, arrays, regular expressions, inheritance, and methods.

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Patterns of Enterprise Application Architecture

Martin Fowler

This volume is a handbook for enterprise system developers, guiding them through the intricacies and lessons learned in enterprise application development. It provides proven solutions to the everyday problems facing information systems developers.

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Code Complete

Steve McConnell

Features the best practices in the art and science of constructing software--topics include design, applying good techniques to construction, eliminating errors, planning, managing construction activities, and relating personal character to superior software. Original. (Intermediate)

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Head First Design Patterns

Eric Freeman, Elisabeth Freeman, Kathy Sierra, Bert Bates

Provides design patterns to help with software development using the Java programming language.

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The C Programming Language

Brian W. Kernighan, Dennis M. Ritchie

Introduces the features of the C programming language, discusses data types, variables, operators, control flow, functions, pointers, arrays, and structures, and looks at the UNIX system interface

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Introduction to Algorithms, 3rd Edition

Thomas H. Cormen

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition. As of the third edition, this textbook is published exclusively by the MIT Press.

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Modern C++ Design

Andrei Alexandrescu

This title documents a convergence of programming techniques - generic programming, template metaprogramming, object-oriented programming and design patterns. It describes the C++ techniques used in generic programming and implements a number of industrial strength components.

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Effective STL

Scott Meyers

"This is Effective C++ volume three - it's really that good." - Herb Sutter, independent consultant and secretary of the ISO/ANSI C++ standards committee "There are very few books which all C++ programmers must have. Add Effective STL to that list." - Thomas Becker, Senior Software Engineer, Zephyr Associates, Inc., and columnist, C/C++ Users Journal C++'s Standard Template Library is revolutionary, but learning to use it well has always been a challenge. Until now. In this book, best-selling author Scott Meyers ( Effective C++ , and More Effective C++ ) reveals the critical rules of thumb employed by the experts - the things they almost always do or almost always avoid doing - to get the most out of the library. Other books describe what's in the STL. Effective STL shows you how to use it. Each of the book's 50 guidelines is backed by Meyers' legendary analysis and incisive examples, so you'll learn not only what to do, but also when to do it - and why. Highlights of Effective STL include: Advice on choosing among standard STL containers (like vector and list), nonstandard STL containers (like hash_set and hash_map), and non-STL containers (like bitset). Techniques to maximize the efficiency of the STL and the programs that use it. Insights into the behavior of iterators, function objects, and allocators, including things you should not do. Guidance for the proper use of algorithms and member functions whose names are the same (e.g., find), but whose actions differ in subtle (but important) ways. Discussions of potential portability problems, including straightforward ways to avoid them. Like Meyers' previous books, Effective STL is filled with proven wisdom that comes only from experience. Its clear, concise, penetrating style makes it an essential resource for every STL programmer.

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XUnit Test Patterns

Gerard Meszaros

Improves software return on investment by teaching the reader how to refactor test code and reduce or prevent crippling test maintenance.

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Concurrent Programming on Windows

Joe Duffy

This practical book includes a tutorial of the entire set of Windows and .NET APIs required to write concurrent programs. Because so much of the threading and synchronization features of the platform are Windows-general, the author, Joe Duffy, focuses first on the general behavior and then on the API details of native and managed code. Interspersed among the tutorial are many difficult-to-discover, useful insights, and internal details about how things work.

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Purely Functional Data Structures

Chris Okasaki

This book describes data structures and data structure design techniques for functional languages.

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Introduction To Algorithms

Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stein

An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.

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Joe Celko's Trees and Hierarchies in SQL for Smarties

Joe Celko

Expert advice for smarties is offered from the #1 SQL guru. Trees and hierarchies are topics that all SQL users need to know, and this is the first developer's guide that addresses these concepts that are universally difficult for programmers to master. The book is Web-enhanced with downloadable SQL code, ready to use.

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SQL Antipatterns

Bill Karwin

Illustrating some of the most common misconceptions and pitfalls software developers face using relational databases, this book helps readers use a database to produce the most efficient results, and turn sluggish, inflexible code into high-quality, reliable solutions.

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Refactoring Databases

Scott W. Ambler, Pramod J. Sadalage

Brings agile/object developers and database administrators together to develop a common language for better database design and change.

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The Art of Multiprocessor Programming

Maurice Herlihy, Nir Shavit

Multiprocessor machines, or Multicores, as they are known in the industry, are quickly taking over every aspect of computing. This volume provides a presentation of the guiding principles and algorithmic techniques necessary for effective multiprocessor programming.

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Programming Pearls

Jon Louis Bentley

A guide to practical programming techniques and design principles, with information on such topics as testing, debugging and timing, set representations, and string problems.

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The Algorithm Design Manual

Steven S. Skiena

Expanding on the highly successful formula of the first edition, this book now serves as the primary textbook of choice for any algorithm design course while maintaining its status as the premier practical reference guide to algorithms.

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Concrete Mathematics

Ronald L. Graham, Donald Ervin Knuth, Oren Patashnik

This book, updated and improved, introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base of mathematical skills--the skills needed to solve complex problems, to evaluate horrendous-looking sums, to solve complex recurrence relations, and to discover subtle patterns in data. It is an indispensable text and reference, not only for computer scientists but for all technical professionals in virtually every discipline.

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C++ Concurrency in Action

Anthony Williams

With the new C++ Standard and Technical Report 2 (TR2), multi-threading is coming to C++ in a big way. TR2 will provide higher-level synchronization facilities that allow for a much greater level of abstraction, and make programming multi-threaded applications simpler and safer. Concurrent programming is required if programmers are to take advantage of the multi-core microprocessors increasingly available from Intel and others. The new standard for C++ has extensions to the language that make concurrent programming more accessible to regular developers. As a guide and reference to the new concurrency features in the upcoming C++ Standard and TR2, this book is invaluable for existing programmers familiar with writing multi-threaded code in C++ using platform-specific APIs, or in other languages, as well as C++ programmers who have never written multithreaded code before.

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The Algorithm Design Manual: Text

Steven S. Skiena

This volume helps take some of the "mystery" out of identifying and dealing with key algorithms. Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide.THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains:* a complete hypertext version of the full printed book.* the source code and URLs for all cited implementations.* over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.

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Real-Time Collision Detection

Christer Ericson

Written by an expert in the game industry, Christer Ericson's new book is a comprehensive guide to the components of efficient real-time collision detection systems. The book provides the tools and know-how needed to implement industrial-strength collision detection for the highly detailed dynamic environments of applications such as 3D games, virtual reality applications, and physical simulators. Of the many topics covered, a key focus is on spatial and object partitioning through a wide variety of grids, trees, and sorting methods. The author also presents a large collection of intersection and distance tests for both simple and complex geometric shapes. Sections on vector and matrix algebra provide the background for advanced topics such as Voronoi regions, Minkowski sums, and linear and quadratic programming. Of utmost importance to programmers but rarely discussed in this much detail in other books are the chapters covering numerical and geometric robustness, both essential topics for collision detection systems. Also unique are the chapters discussing how graphics hardware can assist in collision detection computations and on advanced optimization for modern computer architectures. All in all, this comprehensive book will become the industry standard for years to come.

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Robert Sedgewick, Kevin Daniel Wayne

The standard algorithm guide for working programmers -- now fully updated, broadened, and available again in a popular single-volume format • •The #1 practical resource for everyone seeking to run programs faster or solve larger problems. •Surveys today's most useful algorithms, with copious illustrations and examples. •Contains many new examples, ranging from physics, biology, and engineering to data compression and web search. •Contains real (not psuedocode) implementations, with detailed performance insights. Robert Sedgewick's Algorithm's has long been the definitive practical guide to using algorithms: the book that professionals and students in programming, science, and engineering rely on to solve real-world problems. Now, Sedgewick has thoroughly updated this classic to reflect today's latest, most powerful algorithms - and we've returned to the popular single-volume format our readers have been asking for. Sedgewick brings together an indispensable body of knowledge for improving computer performance and solving larger problems. In this edition, he adds: • •Many powerful new algorithms. •A broader perspective with more science and engineering applications. •New illustrations and examples throughout. •An attractive new two-color design, and more The algorithms Sedgewick presents are crucial in areas ranging from physics simulation to genetic sequencing, architectural modeling to aircraft simulation, database management to Internet search. He covers abstract data types, sorting algorithms, searching algorithms, graph processing, string processing, and geometric algorithms. Algorithms provides all the information readers need to confidently implement, debug, and apply each algorithm in any computational environment. For each, Sedgewick presents real implementations, as well as detailed insights into performance. All examples are written in Java, in a style that can be rapidly and easily translated to other languages.

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The Design of the UNIX Operating System

Maurice J. Bach

This is the first, and still, the most comprehensive book to describe the sophisticated workings of the UNIX System V kernel--the internal algorithms, the structures that form the basis of the UNIX operating system, and their relationship to the programming interface. System programmers will gain a better understanding of how the kernel works and will be able to compare algorithms used in the UNIX system to algorithms used in other operating systems. Programmers on UNIX systems will gain a deeper understanding of how their programs interact with the system and can thereby code more efficient programs.

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Programming Challenges

Steven S. Skiena, Miguel A. Revilla

Presents a collection of more than one hundred programming challenges along with information on key theories and concepts in computer programming.

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Cracking the Coding Interview

Gayle Laakmann McDowell

Now in the 5th edition, the book gives you the interview preparation you need to get the top software developer jobs. This is a deeply technical book and focuses on the software engineering skills to ace your interview. The book includes 150 programming interview questions and answers, as well as other advice.

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