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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, 432 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, 222 pages

Algorithms Illuminated: Part 1: The 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, 222 pages

Data Structures and Algorithm Analysis in C++, Third Edition (Dover Books on Computer Science)
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 Microsoft C++ 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 issues, familiarizes readers with the most commonly used data structures and their algorithms, and discusses matching appropriate data structures to applications. The author offers explicit coverage of design patterns encountered in the course of programming the book's basic data structures and algorithms. Numerous examples appear throughout the text.
Published by: Dover Publications | Publication date: 09/14/2011
Kindle book details: Kindle Edition, 624 pages

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

Introduction to Algorithms and Data Structures in Swift 4: Get ready for programming job interviews. Write better, faster Swift code. (Swift Clinic Book 1)
Take a closer look at algorithms and data structures and learn how to work with them to more efficiently approach software development with Swift. "Introduction to Algorithms and Data Structures in Swift 4" is a straightforward guide to solving coding problems more efficiently. In this comprehensive book, author Károly Nyisztor helps to familiarize yourself with algorithmic thinking and code optimization techniques. He explains each concept using easy-to-understand examples. He focuses on the practical application, using hands-on Swift code examples you can use for reference and practice. Throughout the book, Károly walks you through several demo applications to demonstrate the power of algorithms and the importance of picking the right solution.Topics include:- Algorithmic thinking- The Big O notation- Constant, linear, polynomial and logarithmic time complexity- Understanding recursion and avoiding pitfalls- Case studies for finding faster solutions- The power of Generics- Built-in Swift collection types- When to use a Set, an Array or a Dictionary?- Implementing selection sort, insertion sort, and bubble sort- Advanced sorting: quicksort and merge sortThe study of algorithms and data structures is fundamental to any programmer who plans to develop software systems that are scalable and performant.  "Introduction to Algorithms and Data Structures in Swift 4" is the perfect book for you if you're interested in bringing your Swift coding skills to the next level.Student reviews from the companion course:"LOVE this instructor! His explanations are always clear and accurate, and his pacing is spot-on. Fantastic!" - Glenn"Speed is very good for the content being taught. The size of the videos is perfect for the depth of the topic being discussed." - Nick Perkins"Excellent clear presentation and covering the topic very well - recommended course!" - Graham Wright"Very well made and in-depth explanations. Easy to follow and a lot of visual references making it very easy to understand! Great course overall and highly recommended." - Peter West"This course gives me a much deeper understanding of how to write efficient and effective Swift code. It addresses things not covered in the various other crash courses on iOS development, things not apparent at first. I'd published several simple apps and games already but discovered I needed this information when I started working on a much more complex app and needed to understand how to improve my app's performance, so I searched for information on that and discovered this very helpful course." - Minni K. AngAbout the AuthorKároly Nyisztor is a veteran mobile developer and instructor.He has built several successful iOS apps and games—most of which were featured by Apple—and is the founder at LEAKKA, a software development, and tech consulting company. He's worked with companies such as Apple, Siemens, SAP, and Zen Studios.Currently, he spends most of his days as a professional software engineer and IT architect. In addition, he teaches object-oriented software design, iOS, Swift, Objective-C, and UML. As an instructor, his aim is to share his 20+ years of software development expertise and change the lives of students throughout the world. He's passionate about helping people reveal hidden talents, and guide them into the world of startups and programming.You can find his courses and books on all major platforms including Amazon, Lynda, LinkedIn Learning, Pluralsight, Udemy, and iTunes.
Publication date: 02/11/2018
Kindle book details: Kindle Edition, 144 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

Learning JavaScript Data Structures and Algorithms: Write complex and powerful JavaScript code using the latest ECMAScript, 3rd Edition
Create classic data structures and algorithms such as depth-first search and breadth-first search, learn recursion, as well as create and use a heap data structure using JavaScriptKey Features
  • Implement common data structures and the associated algorithms along with the context in which they are used
  • Master existing JavaScript data structures such as arrays, sets, and maps, and learn how to implement new ones such as stacks, linked lists, trees, and graphs in ES 8
  • Develop abstract data types to make JavaScript a more flexible and powerful programming language
Book DescriptionA data structure is a particular way of organizing data in a computer to utilize resources efficiently. Data structures and algorithms are the base of every solution to any programming problem. With this book, you will learn to write complex and powerful code using the latest ES 2017 features.Learning JavaScript Data Structures and Algorithms begins by covering the basics of JavaScript and introduces you to ECMAScript 2017, before gradually moving on to the most important data structures such as arrays, queues, stacks, and linked lists. You will gain in-depth knowledge of how hash tables and set data structures function as well as how trees and hash maps can be used to search files in an HD or represent a database. This book serves as a route to take you deeper into JavaScript. You'll also get a greater understanding of why and how graphs, one of the most complex data structures, are largely used in GPS navigation systems in social networks.Toward the end of the book, you'll discover how all the theories presented in this book can be applied to solve real-world problems while working on your own computer networks and Facebook searches.What you will learn
  • Declare, initialize, add, and remove items from arrays, stacks, and queues
  • Create and use linked lists, doubly linked lists, and circular linked lists
  • Store unique elements with hash tables, dictionaries, and sets
  • Explore the use of binary trees and binary search trees
  • Sort data structures using algorithms such as bubble sort, selection sort, insertion sort, merge sort, and quick sort
  • Search elements in data structures using sequential sort and binary search
Who This Book Is ForIf you're a JavaScript developer who wants to dive deep into JavaScript and write complex programs using JavaScript data structures and algorithms, this book is for you.Table of Contents
  • JavaScript – A Quick Overview
  • ECMAScript and TypeScript Overview
  • Arrays
  • Stacks
  • Queues and Deques
  • Linked Lists
  • Sets
  • Dictionaries and Hashes
  • Recursion
  • Trees
  • Binary Heap and Heap Sort
  • Graphs
  • Sorting and Searching Algorithms
  • Algorithm Designs and Techniques
  • Algorithm Complexity
  • Published by: Packt Publishing | Publication date: 04/30/2018
    Kindle book details: Kindle Edition, 428 pages

    Data Structures and Algorithms in Python
    Based on the authors’ market leading data structures books in Java and C++, this textbook 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 the Python data structures course. 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 Algorithms in C++.
    Published by: Wiley | Publication date: 01/01/2013
    Kindle book details: Kindle Edition, 768 pages

    Data Structures and Algorithms in Java
    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, 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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