100 Best Data Structures Books of All Time

We've researched and ranked the best data structures books in the world, based on recommendations from world experts, sales data, and millions of reader ratings. Learn more

Featuring recommendations from Hadley Wickham, Ana Bell, and 2 other experts.
1
I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer.

Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book.

Learn how to uncover the hints and hidden details in a question,...
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2
Most books on data structures assume an imperative language such as C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures. The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages.... more

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3

Problem Solving with Algorithms and Data Structures Using Python

THIS TEXTBOOK is about computer science. It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the... more

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4

Introduction To Algorithms

Der "Cormen" bietet eine umfassende und vielseitige Einfuhrung in das moderne Studium von Algorithmen. Es stellt viele Algorithmen Schritt fur Schritt vor, behandelt sie detailliert und macht deren Entwurf und deren Analyse allen Leserschichten zuganglich. Sorgfaltige Erklarungen zur notwendigen Mathematik helfen, die Analyse der Algorithmen zu verstehen. Den Autoren ist es dabei gegluckt, Erklarungen elementar zu halten, ohne auf Tiefe oder mathematische Exaktheit zu verzichten. Jedes der weitgehend eigenstandig gestalteten Kapitel stellt einen Algorithmus, eine Entwurfstechnik, ein... more

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5

Data Structures and Algorithms in Java

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package,... more
Recommended by Ana Bell, and 1 others.

Ana BellThe book presents some very basic algorithms, using Java. Every algorithm you see in the book is also implemented in Java, so if you want to run it, you can copy the code and execute it yourself. (Source)

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6

Algorithm Design Manual

Recommended by Hadley Wickham, and 1 others.

Hadley WickhamThis book is an illustration of the power of names in the Google era. (Source)

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7

Data Structures Through C In Depth

Thsi book is written in a simple manner and is very easy to understand. It describes the theory with examples step by step. It contains the description of writing tehse steps in programs in very easy and understanble manner. less

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8

Data Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are...

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10

Data Structures Using C


This second edition of Data Structures Using C has been developed to provide a comprehensive and consistent coverage of both the abstract concepts of data structures as well as the implementation of these concepts using C language. It begins with a thorough overview of the concepts of C programming followed by introduction of different data structures and methods to analyse the complexity of different algorithms. It then connects these concepts and applies them to the study of various data structures such as arrays, strings, linked lists, stacks, queues, trees, heaps, and...
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11
Success key books for: Programming puzzles for interviews Campus Preparation Degree/Masters Course Preparation Instructor's GATE Preparation Big job hunters: Microsoft, Google, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Webaroo, De-Shaw, Success Factors, Face book, McAfee and many more Reference Manual for working people less

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12
The first revision of this third volume is the most comprehensivesurvey of classical computer techniques for sorting and searching. It extends thetreatment of data structures in Volume 1 to consider both large and smalldatabases and internal and external memories. The book contains a selection ofcarefully checked computer methods, with a quantitative analysis of theirefficiency. Outstanding features of the second edition include a revised sectionon optimum sorting and new discussions of the theory of permutations and ofuniversal hashing. less

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14
Mark Allen Weiss' innovative approach to algorithms and data structures teaches the simultaneous development of sound analytical and programming skills for the advanced data structures course. Readers learn how to reduce time constraints and develop programs efficiently by analyzing the feasibility of an algorithm before it is coded. The C++ language is brought up-to-date and simplified, and the Standard Template Library is now fully incorporated throughout the text. This Third Edition also features significantly revised coverage of lists, stacks, queues, and trees and an entire chapter... more

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15

Data Structures and Algorithms in Python

Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and... more

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17

Data Structures and Algorithms Made Easy

Peeling Data Structures and Algorithms for (C/C++ version): * Programming puzzles for interviews * Campus Preparation * Degree/Masters Course Preparation * Instructor's * GATE Preparation * Big job hunters: Microsoft, Google, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Webaroo, De-Shaw, Success Factors, Face book, McAfee and many more * Reference Manual for working people less

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18
A technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern Big Data applications.

The purpose of this book is to introduce technology practitioners, including software architects and developers, as well as technology decision makers to probabilistic data structures and algorithms. Reading this book, you will get a theoretical and practical understanding of probabilistic data structures and learn about their common uses.
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19
The first revision of this third volume is the most comprehensivesurvey of classical computer techniques for sorting and searching. It extends thetreatment of data structures in Volume 1 to consider both large and smalldatabases and internal and external memories. The book contains a selection ofcarefully checked computer methods, with a quantitative analysis of theirefficiency. Outstanding features of the second edition include a revised sectionon optimum sorting and new discussions of the theory of permutations and ofuniversal hashing. less

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20

Data Structures and Algorithms

The authors' treatment of data structures in Data Structures and Algorithms is unified by an informal notion of "abstract data types," allowing readers to compare different implementations of the same concept. Algorithm design techniques are also stressed and basic algorithm analysis is covered. Most of the programs are written in Pascal. less

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Don't have time to read the top Data Structures books of all time? Read Shortform summaries.

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21

Game Engine Architecture

This book covers both the theory and practice of game engine software development, bringing together complete coverage of a wide range of topics. The concepts and techniques described are the actual ones used by real game studios like Electronic Arts and Naughty Dog. The examples are often grounded in specific technologies, but the discussion extends way beyond any particular engine or API. The references and citations make it a great jumping off point for those who wish to dig deeper into any particular aspect of the game development process.

Intended as the text for a college...
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22

Data Structures and Network Algorithms

There has been an explosive growth in the field of combinatorial algorithms. These algorithms depend not only on results in combinatorics and especially in graph theory, but also on the development of new data structures and new techniques for analyzing algorithms. Four classical problems in network optimization are covered in detail, including a development of the data structures they use and an analysis of their running time. Data Structures and Network Algorithms attempts to provide the reader with both a practical understanding of the algorithms, described to facilitate their easy... more

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23
Knuth's classic work has been widely acclaimed as one of the most influential works in the field of computer science. For the first time, these books are available as a boxed, three-volume set. The handsome slipcase makes this set an ideal gift for the recent computer science graduate or professional programmer. Offering a description of classical computer science, this multi-volume work is a useful resource in programming theory and practice for students, researchers, and practitioners alike. For programmers, it offers cookbook solutions to their day-to-day problems. less

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25
If you last saw algorithms in a university course or at a job interview, you're missing out on what they can do for your code. Learn different sorting and searching techniques, and when to use each. Find out how to use recursion effectively. Discover structures for specialized applications, such as trees and graphs. Use Big O notation to decide which algorithms are best for your production environment. Beginners will learn how to use these techniques from the start, and experienced developers will rediscover approaches they may have forgotten.

Algorithms and data structures are...
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27

A Method of Programming

28

Published in 1996, Richard Jones’s Garbage Collection was a milestone book in the field. Since the field has changed considerably, there is a need for an updated look at where garbage collection and memory management research stands today. This book explores new challenges, such as concurrency and parallelism, while following the successful format of the previous book. It provides comprehensive, accessible coverage of important algorithms and places these algorithms within a common framework using consistent terminology. This approach facilitates comparisons between various...

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29

Algorithms

This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated.

Carefully chosen...
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30
For courses in computer programming in Java. Provide a step-by-step introduction to programming in Java Starting Out with Java: From Control Structures through Data Structures provides a step-by-step introduction to programming in Java. This text is designed to be used in a 2 or 3 semester sequence and covers everything from the fundamentals of Java programming to algorithms and data structures. As with all Gaddis texts, every chapter contains clear and easy-to-read code listings, concise and practical real-world examples, and an abundance of exercises. With the... more

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Don't have time to read the top Data Structures books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
31
The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming. -Byte, September 1995 I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me! I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up. -Charles Long If you think you're a really good programmer... read [Knuth's] Art of Computer Programming... You should definitely send me a resume if you can... more

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34
The pressure is on during the interview process but with the right preparation, you can walk away with your dream job. This classic book uncovers what interviews are really like at America's top software and computer companies and provides you with the tools to succeed in any situation. The authors take you step-by-step through new problems and complex brainteasers they were asked during recent technical interviews. 50 interview scenarios are presented along with in-depth analysis of the possible solutions. The problem-solving process is clearly illustrated so you'll be able to easily apply... more

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35
The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines, or designing and using their own tools to process large amounts of information.Demonstrating what... more

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36

Advanced Data Structures

Advanced Data Structures presents a comprehensive look at the ideas, analysis, and implementation details of data structures as a specialized topic in applied algorithms. Data structures are how data is stored within a computer, and how one can go about searching for data within. This text examines efficient ways to search and update sets of numbers, intervals, or strings by various data structures, such as search trees, structures for sets of intervals or piece-wise constant functions, orthogonal range search structures, heaps, union-find structures, dynamization and persistence of... more

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37
Peeling Data Structures and Algorithms:

Table of Contents: goo.gl/JFMgiU
Sample Chapter: goo.gl/n2Hk4i
Found Issue? goo.gl/forms/4Gt72YO81I
Videos: goo.gl/BcHq74

"Data Structures And Algorithms Made...
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39

This second edition expands upon the solid, practical foundation established in the first edition of the text. A new four-part organizational structure increases the flexibility of the text, and all material is presented in a straightforward manner accompanied by an array of examples and visual diagrams.

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40
Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON(TM) DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data structures using the popular Python(TM) programming language. The level of instruction is ideal if you've had at least one semester of programming experience in an object-oriented language, such as Java(TM), C++ or Python(TM). Step-by-step explanations and focused exercises clearly explain the design of collection classes with polymorphism and inheritance and multiple implementations of collection... more

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Don't have time to read the top Data Structures books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
41
Learn how to program with C++ using today's definitive choice for your first programming language experience -- C++ PROGRAMMING: FROM PROBLEM ANALYSIS TO PROGRAM DESIGN, 8E. D.S. Malik's time-tested, student-centered methodology incorporates a strong focus on problem-solving with full-code examples that vividly demonstrate the hows and whys of applying programming concepts and utilizing C++ to work through a problem. Thoroughly updated end-of-chapter exercises, more than 20 extensive new programming exercises, and numerous new examples drawn from Dr. Malik's experience further strengthen your... more

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42

An Introduction to the Analysis of Algorithms

People who analyze algorithms have double happiness. First of all they experience the sheer beauty of elegant mathematical patterns that surround elegant computational procedures. Then they receive a practical payoff when their theories make it possible to get other jobs done more quickly and more economically.... The appearance of this long-awaited book is therefore most welcome. Its authors are not only worldwide leaders of the field, they also are masters of exposition. --D. E. Knuth This book provides a thorough introduction to the primary techniques used in the mathematical analysis of... more

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43

Data Structures Using C++

Now in its second edition, D.S. Malik brings his proven approach to C++ programming to the CS2 course. Clearly written with the student in mind, this text focuses on Data Structures and includes advanced topics in C++ such as Linked Lists and the Standard Template Library (STL). The text features abundant visual diagrams, examples, and extended Programming Examples, all of which serve to illuminate difficult concepts. Complete programming code and clear display of syntax, explanation, and example are used throughout the text, and each chapter concludes with a robust exercise set. less

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44
Imagine having the knowledge you need to confidently plan and execute an analytics strategy that really works.
Your organization is under intense pressure to create value, and that's why business leaders are turning to analytics for help. But you can't effectively use information to sell more, spend less, and work smarter-and do it with the speed and agility business leaders require-unless you understand the 26 most important aspects of people, process, technology, and data that make analytics work.



In Think Fast!, award-winning...
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45
In FUNDAMENTALS OF PYTHON: FROM FIRST PROGRAMS THROUGH DATA STRUCTURES, Washington and Lee University professor Kenneth A. Lambert presents all of the important topics in CS1 and CS2 in one volume. This economical format provides instructors with a consistent approach to teaching introductory programming and data structures over a standard two-term course sequence. The book uses the Python programming language, which is both easy to learn for beginners and scales well to advanced applications. less

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46

Data Structures and Algorithms in C++

An updated, innovative approach to data structures and algorithms

Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in C++.

The unparalleled author team incorporates the object-oriented design paradigm using C++ as the implementation language, while also providing intuition and analysis of fundamental algorithms.

Offers a unique multimedia format for learning the fundamentals of data structures and...
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49

Starting Out with Java

For courses in computer science and programming Starting Out with Java: From Control Structures through Data Structures provides a smooth introduction to programming with Java that moves fluidly from beginner to more advanced topics. The first half of the book is taught for a CS1 course and teaches fundamental programming and problem solving concepts, while the second half, meant for a CS2 course, teaches advanced topics, algorithms, and data structures. The Third Edition is extremely flexible in its organization, which teaches programmers to implement data... more

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50

Google BigQuery Analytics

How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query... more

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Don't have time to read the top Data Structures books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
52
Robert Sedgewick has thoroughly rewritten and substantially expanded and updated his popular work to provide current and comprehensive coverage of important algorithms and data structures. Christopher Van Wyk and Sedgewick have developed new C++ implementations that both express the methods in a concise and direct manner, and also provide programmers with the practical means to test them on real applications. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with... more

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53

Data Structures in C

Revised April 2015

Update of link to source code

The short code link in the book no longer works. The code can be accessed here:

https: //onedrive.live.com/redir?resid=8ACA167...

Data structures is concerned with the storage, representation and manipulation of data in a computer. We discuss some of the more versatile and popular data structures and explain how to implement and use them to solve a...
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54
Today, an organization's survival ultimately rests on how well (and fast!) it creates value. That's why decision-makers consistently rate business intelligence as one of their top investment priorities. They depend on information to help them compete in a world where disruption is a constant and speed an obsession. But recognizing the need for BI is one thing. Effectively using it to create value is an entirely different matter.

Hyper is the essential quick-read guide for busy business and IT professionals struggling to make BI work. Packed with pragmatic advice, proven methods,...
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55
Summary

Classic Computer Science Problems in Python deepens your knowledge of problem-solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems!

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

...
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57

Java Foundations

Introduction to Program Design and Data Structures

A Concise, Comprehensive Approach to Java Programming Java Foundations is a comprehensive textbook for introductory programming sequences. The versatile layout supports a two-or three-semester schedule and introduces you to the world of programming--from the basics, to complex data structures. Inspired by the success of their highly successful text, Java Software Solutions, authors Lewis, DePasquale and Chase build a solid framework for lasting comprehension. The Fourth Edition is updated and revised to keep the content fully up-to-speed while... more

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59
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering--data structures and algorithms--in a way that's clearer, more concise, and more engaging than other materials.

By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You'll explore the important classes in the Java collections...
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60
Instead of emphasizing the underlying mathematics to get programmers to build their own data structures, Collins enables them to manipulate existing structures in the Java Collections Library. This allows them to learn through coding rather than by doing proofs. 23 lab projects and hundreds of programming examples are integrated throughout the pages to build their intuition. The approach this book takes helps programmers quickly learn the concepts that underlie data structures. less

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Don't have time to read the top Data Structures books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
61

Data Structures Using C and C++

This introduction to the fundamentals of data structures explores abstract concepts, considers how those concepts are useful in problem solving, explains how the abstractions can be made concrete by using a programming language, and shows how to use the C language for advanced programming and how to develop the advanced features of C++. Covers the C++ language, featuring a wealth of tested and debugged working programs in C and C++. Explains and analyzes algorithms -- showing step- by-step solutions to real problems. Presents algorithms as intermediaries between English... more

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64

This latest edition of the best-selling implementation guide to the Structured Query Language teaches SQL fundamentals while providing practical solutions for critical business applications. The Practical SQL Handbook, Fourth Edition now includes expanded platform SQL coverage and extensive real-world examples based on feedback from actual SQL users.

The Practical SQL Handbook begins with a step-by-step introduction to SQL basics and examines the issues involved in designing SQL-based database applications. It fully explores SQL's most popular...

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65
Data Structures and Other Objects Using Java is a gradual, "just-in-time" introduction to Data Structures for a CS2 course.

Each chapter provides a review of the key aspects of object-oriented programming and a syntax review, giving students the foundation for understanding significant programming concepts. With this framework they are able to accomplish writing functional data structures by using a five-step method for working with data types; understanding the data type abstractly, writing a specification, using the data type, designing and implementing the data type,...
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66

Data Structures Using Java

This CS2 book, designed for a one-semester course focused on data structures, incorporates all of the elements of the author's introductory Java title. Clearly written with the student in mind, the book focuses on data structures, and includes advanced topics in Java such as Linked Lists and the Standard Template Library (STL). Students should find the author's use of complete programming code and clear display of syntax, explanation and example both easy to read and conducive to learning. less

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67

Using the Java programming language, author Adam Drozdek highlights three important aspects of data structures and algorithms. First, the book places special emphasis on the connection between data structures and their algorithms, including an analysis of the algorithms' complexity. Second, the book presents data structures in the context of object-oriented program design, stressing the principle of information hiding in its treatment of encapsulation and decomposition. Finally, the book closely examines data structure implementation. Overall, this practical and theoretical book prepares...

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68
This text is intended for a 1-semester CS1 course sequence. The Brief Version contains the first 18 chapters of the Comprehensive Version. The first 13 chapters are appropriate for preparing the AP Computer Science exam.
For courses in Java Programming.

A fundamentals-first introduction to basic programming concepts and techniques Designed to support an introductory programming course, Introduction to Java Programming and Data Structures teaches you concepts of problem-solving and object-orientated programming using a fundamentals-first...
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69

Data Structures

Abstraction and Design Using Java

This book lays the foundation for programmers to build their skills. The focus is placed on how to implement effective programs using the JCL instead of producing mathematical proofs. The coverage is updated and streamlined to provide a more accessible approach to programming. They'll be able to develop a thorough understanding of basic data structures and algorithms through an objects-first approach. Data structures are discussed in the context of software engineering principles. Updated case studies also show programmers how to apply essential design skills and concepts. less

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70
Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions.

You'll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. You'll also learn how a URL shortener, such as bit.ly, is developed and what is happening to the data as a PDF is uploaded to a webpage. This book covers the practical applications of data structures and algorithms to encryption,...
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Don't have time to read the top Data Structures books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
71

Data Structures & Algorithms Using Java

With an accessible writing style and manageable amount of content, Data Structures and Algorithms Using Java is the ideal text for your course. This outstanding text correlates to the recommended syllabus put forth by the Association of Computing Machinery standard curriculum guidelines. The author has produced a resource that is more readable and instructional than any other, without compromising the scope of the ACM CS103, Data Structures and Algorithms, course material. The text's unique, student-friendly pedagogical approach and organizational structure will keep students engaged in the... more

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72
Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science.
The book is self-contained and the only...
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74
Using C, this book develops the concepts and theory of data structures and algorithm analysis step by step, proceeding from concrete examples to abstract principles. The material is unified by the use of recurring themes such as efficiency, recursion, representation and trade-offs. Important software engineering concepts are also covered, including modularity, abstract data types and information hiding, as well as new developments such as risk-based software, life cycle models and object-oriented programming. less

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75
About This Book
Learn how to use the most used data structures such as array, stack, list, tree, and graphs with real-world examples
Get a grasp on which one is best between searching and sorting algorithms and learn how to implement them
Follow through solutions for notable programming problems with step-by-step explanations

Who This Book Is For
If you are a JavaScript developer or someone who has basic knowledge of JavaScript, and want to explore its optimum ability, this fast-paced book is definitely for you. Programming logic is the only thing...
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76
Offered as an introduction to the field of data structures and algorithms, Open Data Structures covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs. Focusing on a mathematically rigorous approach that is fast, practical, and efficient, Morin clearly and briskly presents instruction along with source code. less

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77
Strengthen your understanding of data structures and their algorithms for the foundation you need to successfully design, implement and maintain virtually any software system. Theoretical, yet practical, DATA STRUCUTRES AND ALGORITHMS IN C++, 4E by experienced author Adam Drosdek highlights the fundamental connection between data structures and their algorithms, giving equal weight to the practical implementation of data structures and the theoretical analysis of algorithms and their efficiency. This edition provides critical new coverage of treaps, k-d trees and k-d B-trees, generational... more

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78
The most unique aspect of this text is the clear separation of the interface and implementation. C++ allows the programmer to write the interface and implementation separately, to place them in separate files and compile separately, and to hide the implementation details. This book goes a step further: the interface and implementation are discussed in separate parts of the book. Part I (Objects and C++), Part II (Algorithms and Building Blocks), and Part III (Applications) lay the groundwork by discussing basic concepts and tools and providing some practical examples, but implementation of... more

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79

Algorithms in C++

This version of Sedgewick's bestselling book provides a comprehensive collection of algorithms implemented in C++. The algorithms included cover a broad range of fundamental and more advanced methods: sorting, searching, string processing, geometric, graph, and mathematical algorithms. Readers will discover-in an object-oriented programming environment-how key algorithms can be implemented, run, debugged, and used in real applications. less

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80

Data Structures and Other Objects Using C++

Data Structures and Other Objects Using C++ takes a gentle approach to the data structures course in C++. Providing an early, self-contained review of object-oriented programming and C++, this text gives students a firm grasp of key concepts and allows those experienced in another language to adjust easily. Flexible by design, professors have the option of emphasizing object-oriented programming, covering recursion and sorting early, or accelerating the pace of the course. Finally, a solid foundation in building and using abstract data types is also provided, along with an assortment... more

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81

Data Abstraction & Problem Solving with C++

Walls and Mirrors

Data Abstraction and Problem Solving with C++: Walls & Mirrors provides a firm foundation in data abstraction that emphasizes the distinction between specifications and implementation as the basis for an object-oriented approach. Software engineering principles and concepts as well as UML diagrams are used to enhance student understanding. less

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82
In this adaptation of his successful book, Data Structures and Algorithm Analysis, Mark Allen Weiss provides an innovative approach to algorithms and data structures in C++. He highlights conceptual topics, focusing on ADTs and the analysis of algorithms for efficiency as well as performance and running time. Dr. Weiss also distinguishes Data Structures and Algorithm Analysis in C++ with his clear, friendly writing style, logical organization of topics, and extensive use of figures and examples that show the successive stages of an algorithm. less

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83
In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation. A solid grasp of data structures and algorithms (DSA) is imperative for anyone looking to do professional software development and engineering, but classes in the subject can be dry or spend too much time on theory and unnecessary readings. Regardless of your programming language background, Codeless Data Structures and Algorithms has you covered.
In this book, author Armstrong Subero will help you learn DSAs without...
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84

Reusable Data Structures for C

Written by a programming guru, this guide gives programmers and software engineers a concise source of guidelines for developing reusable and highly modularized data structures to improve the organization and comprehensibility of large, complex programs. less

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85
Data Science For Dummies 2nd Edition begins by explaining large data sets and data formats, including sample Python code for manipulating data. The book explains how to work with relational databases and unstructured data, including NoSQL. The book then moves into preparing data for analysis by cleaning it up or "munging" it. From there the book explains data visualization techniques and types of data sets. Part II of the book is all about supervised machine learning, including regression techniques and model validation techniques. Part III explains unsupervised machine learning, including... more

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87
Continuing the success of the popular second edition, the updated and revised Object-Oriented Data Structures Using Java, Third Edition is sure to be an essential resource for students learning data structures using the Java programming language. It presents traditional data structures and object-oriented topics with an emphasis on problem-solving, theory, and software engineering principles. Beginning early and continuing throughout the text, the authors introduce and expand upon the use of many Java features including packages, interfaces, abstract classes, inheritance, and exceptions.... more

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88

Data Structures and Program Design in C

Progressing from the concrete to the abstract -- and using numerous, substantial case studies and sample programs -- this book explores structured problem solving, data abstraction, software engineering principles, and the comparative analysis of algorithms as fundamental tools of program design. Emphasizes principles of top-down refinement, program design, review, and testing. Uses the C programming language throughout. Offers Internet access to the source code for all the programs and program extracts printed in the book. less

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89
Information retrieval is a sub-field of computer science that deals with the automated storage and retrieval of documents. Providing the latest information retrieval techniques, this guide discusses Information Retrieval data structures and algorithms, including implementations in C. Aimed at software engineers building systems with book processing components, it provides a descriptive and evaluative explanation of storage and retrieval systems, file structures, term and query operations, document operations and hardware. Contains techniques for handling inverted files, signature files, and... more

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Don't have time to read the top Data Structures books of all time? Read Shortform summaries.

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91

Learning Algorithms Through Programming and Puzzle Solving

There are many excellent books on Algorithms — why in the world we would write another one??? Because we feel that while these books excel in introducing algorithmic ideas, they have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill.

Our goal is to develop an Intelligent Tutoring System for learning algorithms through programming that can compete with the best professors in a traditional classroom. This MOOC book is the first step towards this goal written specifically for our Massive Open Online Courses (MOOCs) forming a...
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92

Data Structures Using Java

This book employs an object-oriented approach to teaching data structures using Java. Many worked examples and approximately 300 additional examples make this book easily accessible to the reader. Most of the concepts in the book are illustrated by several examples, allowing readers to visualize the processes being taught. Introduces abstract concepts, shows how those concepts are useful in problem solving, and then shows the abstractions can be made concrete by using a programming language. Equal emphasis is placed on both the abstract and the concrete versions of a... more

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93

Data Structures and Algorithm Analysis in Java

With its focus on creating efficient data structures and algorithms, this comprehensive text helps readers understand how to select or design the tools that will best solve specific problems. It uses Java as the programming language and is suitable for second-year data structure courses and computer science courses in algorithm analysis.
Techniques for representing data are presented within the context of assessing costs and benefits, promoting an understanding of the principles of algorithm analysis and the effects of a chosen physical medium. The text also explores tradeoff...
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96
Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.

The book deals with some of the most important and challenging areas of programming and computer science, but in a highly pedagogic and readable manner. The book covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real...
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97
Joe Celko's Trees and Hierarchies in SQL is an intermediate to advanced-level practitioner's guide to mastering the two most challenging aspects of developing database applications in SQL. In this book, Celko illustrates several major approaches to representing trees and hierarchies and related topics that should be of interest to the working database programmer. These topics include hierarchical encoding schemes, graphs, IMS, binary trees, and more. This book covers SQL-92 and SQL:1999. less

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99
Highlights *This book introduces several library packages to simplify the programming process, making it possible for students to concentrate on high-level conceptual issues without being distracted by the complexities of C. *It contains an extensive discussion of recursion, including a large number of sample programs and exercises that range in difficulty from simple recursive functions to the minimax strategy for analyzing two-player games. *It emphasizes the practical skills necessary to write solid, reusable code. less

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100

Algorithms And Data Structures

The Basic Toolbox

Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems.

This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover...
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  • Being comprehensive: you learn the most important points in the book
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  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.