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Data Structures and Algorithms: An Easy Introduction (Artificial Intelligence Book 1)
DATA STRUCTURES AND ALGORITHMS★★Buy the Paperback version of this book, and get the Kindle eBook version included for FREE! ★★Do You Want to Become An Expert Of Data Structures and Algorithms?? Start Getting this Book and Follow My Step by Step Explanations! Click Add To Cart Now!This book is meant for anyone who  wants to learn how to write efficient programs and use the proper data structures and algorithm. In this book, you'll learn the basics of the C++ programming language and object-oriented design concepts. After that, you'll learn about the most important data structures, including linked lists, arrays, queues, and stacks. You will learn also learn about searching and sorting algorithms.This book contains some illustrations and step-by-step explanations with bullet points and exercises for easy and enjoyable learningBenefits of reading this book that you're not going to find anywhere else:Introduction to C++
  • C++ Data Types
  • Control Flow
  • Functions
  • Overloading and Inlining
  • Classes
  • Access Control
  • Constructors and Destructors
  • Classes and Memory Allocation
  • Class Friends and Class Members
Introduction to Object Oriented Design
  • Abstraction
  • Encapsulation
  • Modularity
  • Inheritance and Polymorphism
  • Member Functions
  • Polymorphism
  • Interfaces and Abstract Classes
  • Templates
  • Exceptions
Developing efficient computer programs
  • Arrays
  • Linked Lists
  • Analysis of Algorithms
  • The “Big-Oh” Notation
  • Stacks
  • Queues
  • Binary Trees
  • Hash Table
  • Sorting algorithms
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Publication date: 05/07/2018
Kindle book details: Kindle Edition, 96 pages

Purely Functional Data Structures
Most books on data structures assume an imperative language like 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 so that programmers can develop their own functional data structures. It 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. All source code is given in Standard ML and Haskell, and most of the programs can easily be adapted to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.
Publication date: 04/17/2018
Kindle book details: Kindle Edition, 186 pages

Data Structures & Algorithms Interview Questions You'll Most Likely Be Asked (Job Interview Questions Series Book 8)
•200 Data Structures & Algorithms Interview Questions•77 HR Interview Questions •Real life scenario based questions•Strategies to respond to interview questions•2 Aptitude Tests Data Structures & Algorithms Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today’s competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer. The following is included in this book:(a) 200 Data Structures & Algorithms Interview Questions, Answers and proven strategies for getting hired as an IT professional(b) Dozens of examples to respond to interview questions(c) 77 HR Questions with Answers and proven strategies to give specific, impressive, answers that help nail the interviews (d) 2 Aptitude Tests download available on
Published by: Vibrant Publishers | Publication date: 02/21/2017
Kindle book details: Kindle Edition, 214 pages

Data Structures and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles
Table of Contents: Chapter: Code: 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

Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles
Peeling Data Structures and Algorithms: Table of Contents: Chapter: Issue?"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, 424 pages

Problem Solving in Data Structures & Algorithms Using C#
"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 Repositories’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 Made Easy in Java: Data Structure and Algorithmic Puzzles
Peeling Data Structures and Algorithms [re-printed on 19-August-2016]:Table of Contents: Chapter: Code: 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:
Published by: CareerMonk Publications | Publication date: 01/09/2017
Kindle book details: Kindle Edition, 450 pages

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

Functional Data Structures in R: Advanced Statistical Programming in R
Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which can be exploited to emulate pointers and implement traditional data structures. You’ll also see how, by abandoning traditional data structures, you can manipulate structures by building new versions rather than modifying them. You’ll discover how these so-called functional data structures are different from the traditional data structures you might know, but are worth understanding to do serious algorithmic programming in a functional language such as R.By the end of Functional Data Structures in R, you’ll understand the choices to make in order to most effectively work with data structures when you cannot modify the data itself. These techniques are especially applicable for algorithmic development important in big data, finance, and other data science applications.What You'll Learn
  • Carry out algorithmic programming in R 
  • Use abstract data structure
  • Work with both immutable and persistent data 
  • Emulate pointers and implement traditional data structures in R
  • Build new versions of traditional data structures that are known
Who This Book Is ForExperienced or advanced programmers with at least a comfort level with R. Some experience with data structures recommended.
Published by: Apress | Publication date: 11/17/2017
Kindle book details: Kindle Edition, 256 pages

Think Data Structures: Algorithms and Information Retrieval in Java
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 framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online.
  • Use data structures such as lists and maps, and understand how they work
  • Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree
  • Analyze code to predict how fast it will run and how much memory it will require
  • Write classes that implement the Map interface, using a hash table and binary search tree
  • Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results
Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes.
Published by: O'Reilly Media | Publication date: 07/07/2017
Kindle book details: Kindle Edition, 158 pages
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