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Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles

https://www.amazon.com/Data-Structures-Algorithms-Made-Easy-...
Peeling Data Structures and Algorithms: Table of Contents: goo.gl/JFMgiUSample Chapter: goo.gl/n2Hk4iFound Issue? goo.gl/forms/4Gt72YO81IVideos: goo.gl/BcHq74"Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems.
Publication date: 01/13/2017
Kindle book details: Kindle Edition, 432 pages

A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills

https://www.amazon.com/Common-Sense-Guide-Data-Structures-Al...
"Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. This book takes a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. Graphics and examples make these computer science concepts understandable and relevant. You can use these techniques with any language; examples in the book are in JavaScript, Python, and Ruby.Use Big O notation, the primary tool for evaluating algorithms, to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Jay Wengrow brings to this book the key teaching practices he developed as a web development bootcamp founder and educator.Use these techniques today to make your code faster and more scalable."
Author: Jay Wengrow
Published by: Pragmatic Bookshelf | Publication date: 08/03/2017
Kindle book details: Kindle Edition, 222 pages

Introduction to Algorithms (The MIT Press)

https://www.amazon.com/Introduction-Algorithms-Press-Thomas-...
A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.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. The international paperback edition is no longer available; the hardcover is available worldwide.
Published by: The MIT Press | Publication date: 07/31/2009
Kindle book details: Kindle Edition, 1312 pages

Algorithms Illuminated: Part 1: The Basics

https://www.amazon.com/Algorithms-Illuminated-Part-1-Basics-...
Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and database system implementation. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject---a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. The exposition is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. Part 1 of the book series covers asymptotic analysis and big-O notation, divide-and-conquer algorithms and the master method, randomized algorithms, and several famous algorithms for sorting and selection.
Published by: Soundlikeyourself Publishing, LLC | Publication date: 09/25/2017
Kindle book details: Kindle Edition, 1312 pages

Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles

https://www.amazon.com/Data-Structures-Algorithms-Made-Easy-...
Peeling Data Structures and Algorithms [re-printed on 19-August-2016]:Table of Contents: goo.gl/hMYJGqSample Chapter: goo.gl/DqVs8pSource Code: goo.gl/e3imfVVideos: goo.gl/BcHq74A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry.The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues,Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts.Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in 2011, and it is coded in Java language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in C/C++. In short, this book offers solutions to various complex data structures and algorithmic problems.What is unique? Our main objective isn't to propose theorems and proofs about DS and Algorithms. We took the direct route and solved problems of varying complexities. That is, each problem corresponds to multiple solutions with different complexities. In other words, we ennumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities.Topics Covered:IntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queue and HeapsDisjoint Sets ADTGraph AlgorithmsSorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts Target Audience? These books prepare readers for interviews, exams, and campus work. Language?All code was written in Java. If you are using C/C++, please search for "Data Structures and Algorithms Made Easy".Note: If you already have "Data Structures and Algorithms Made Easy" no need to buy this.Also, check out sample chapters and the blog at: CareerMonk.com
Published by: CareerMonk Publications | Publication date: 01/09/2017
Kindle book details: Kindle Edition, 450 pages

Data Structures: Abstraction and Design Using Java, 3rd Edition

https://www.amazon.com/Data-Structures-Abstraction-Design-Us...
Data Structures: Abstraction and Design Using Java, 3rd Edition, combines a strong emphasis on problem solving and software design with the study of data structures. The authors discuss applications of each data structure to motivate its study. After providing the specification (interface) and the implementation (a Java class), case studies that use the data structure to solve a significant problem are introduced.
Published by: Wiley | Publication date: 12/29/2015
Kindle book details: Kindle Edition, 450 pages

Problem Solving in Data Structures & Algorithms Using Java: Programming Interview Guide

https://www.amazon.com/Problem-Solving-Structures-Algorithms...
"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In various books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP.GitHub Repositorieshttps://github.com/Hemant-Jain-AuthorBook’s CompositionThis book is designed for interviews so in Chapter 0, various preparation plans are proposed. Then in chapters 1, a brief introduction of the programming language and concept of recursion is explained. A number of problems based on recursion and array are explained.Then in the coming chapter, we will be looking into complexity analysis. Then we will be looking into Sorting & Searching techniques.Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, and Backtracking.In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.Table of ContentsChapter 0: How to use this book.Chapter 1: Introduction - Programming OverviewChapter 2: Algorithms AnalysisChapter 3: Approach to solve algorithm design problemsChapter 4: Abstract Data TypeChapter 5: SearchingChapter 6: SortingChapter 7: Linked ListChapter 8: StackChapter 9: QueueChapter 10: TreeChapter 11: Priority QueueChapter 12: Hash-TableChapter 13: GraphsChapter 14: String AlgorithmsChapter 15: Algorithm Design TechniquesChapter 16: Brute Force AlgorithmChapter 17: Greedy AlgorithmChapter 18: Divide & ConquerChapter 19: Dynamic ProgrammingChapter 20: BacktrackingChapter 21: Complexity TheoryChapter 22: Interview StrategyChapter 23: System Design
Author: Hemant Jain
Publication date: 01/18/2017
Kindle book details: Kindle Edition, 438 pages

Data Structures and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles

https://www.amazon.com/Data-Structures-Algorithmic-Thinking-...
Table of Contents: goo.gl/VLEUcaSample Chapter: goo.gl/8AEcYkSource Code: goo.gl/L8XxdtIt is the Python version of "Data Structures and Algorithms Made Easy".The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style.This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem. "Data Structure and Algorithmic Thinking with Python" is designed to give a jumpstart to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems.
Published by: CareerMonk Publications | Publication date: 01/06/2017
Kindle book details: Kindle Edition, 476 pages

Problem Solving in Data Structures & Algorithms Using C#

https://www.amazon.com/Problem-Solving-Structures-Algorithms...
"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In various books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP.GitHub Repositorieshttps://github.com/Hemant-Jain-AuthorBook’s CompositionThis book is designed for interviews so in Chapter 0, various preparation plans are proposed. Then in chapters 1, a brief introduction of the programming language and concept of recursion is explained. A number of problems based on recursion and array are explained.Then in the coming chapter, we will be looking into complexity analysis. Then we will be looking into Sorting & Searching techniques.Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, and Backtracking.In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.Table of ContentsChapter 0: How to use this book.Chapter 1: Introduction - Programming OverviewChapter 2: Algorithms AnalysisChapter 3: Approach to solve algorithm design problemsChapter 4: Abstract Data TypeChapter 5: SearchingChapter 6: SortingChapter 7: Linked ListChapter 8: StackChapter 9: QueueChapter 10: TreeChapter 11: Priority QueueChapter 12: Hash-TableChapter 13: GraphsChapter 14: String AlgorithmsChapter 15: Algorithm Design TechniquesChapter 16: Brute Force AlgorithmChapter 17: Greedy AlgorithmChapter 18: Divide & ConquerChapter 19: Dynamic ProgrammingChapter 20: BacktrackingChapter 21: Complexity TheoryChapter 22: Interview StrategyChapter 23: System Design
Author: Hemant Jain
Publication date: 05/26/2017
Kindle book details: Kindle Edition, 623 pages

Data Structures and Algorithms in Java

https://www.amazon.com/Data-Structures-Algorithms-Robert-Laf...
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 revised to work with the latest version of the Java JDK, and questions and exercises will be added at the end of each chapter making the book even more useful.   Educational Supplement Suggested solutions to the programming projects found at the end of each chapter are made available to instructors at recognized educational institutions. This educational supplement can be found at www.prenhall.com, in the Instructor Resource Center.    
Published by: Sams Publishing | Publication date: 09/06/2017
Kindle book details: Kindle Edition, 800 pages
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