Easy Learning Data Structures Algorithms Javascript
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Easy Learning Data Structures Algorithms Javascript
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Author : Yang Hu
language : en
Publisher:
Release Date : 2019-05-27
Easy Learning Data Structures Algorithms Javascript written by Yang Hu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-27 with categories.
Understand data structures and the associated algorithms, as well as the context in which they are used.Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs.All concepts are explained in an easy way, followed by examples.You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter.1. Bubble Sorting Algorithm2. Select Sorting Algorithm3. Insert Sorting Algorithm4. Dichotomy Binary Search5. Unidirectional Linked List5.1 Create and Initialization5.2 Add Node5.3 Insert Node5.4 Delete Node6. Doubly Linked List6.1 Create and Initialization6.2 Add Node6.3 Insert Node6.4 Delete Node7. One-way Circular LinkedList7.1 Initialization and Traversal7.2 Insert Node7.3 Delete Node8. Two-way Circular LinkedList8.1 Initialization and Traversal8.2 Insert Node8.3 Delete Node9. Queue10. Stack11. Recursive Algorithm12. Two-way Merge Algorithm13. Quick Sort Algorithm14. Binary Search Tree 14.1 Construct a binary search tree 14.2 Binary search tree In-order traversal 14.3 Binary search tree Pre-order traversal 14.4 Binary search tree Post-order traversal 14.5 Binary search tree Maximum and minimum 14.6 Binary search tree Delete Node15. Binary Heap Sorting16. Hash Table17. Graph 17.1 Undirected Graph and Depth-Frst Search 17.2 Undirected Graph and Breadth-First Search 17.3 Directed Graph and Depth-Frst Search 17.4 Directed Graph and Breadth-First Search 17.5 Directed Graph Topological Sorting
Learning Javascript Data Structures And Algorithms
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Author : Loiane Groner
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-06-23
Learning Javascript Data Structures And Algorithms written by Loiane Groner and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-23 with Computers categories.
Hone your skills by learning classic data structures and algorithms in JavaScript About This Book Understand common data structures and the associated algorithms, as well as the context in which they are used. Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs. All concepts are explained in an easy way, followed by examples. Who This Book Is For If you are a student of Computer Science or are at the start of your technology career and want to explore JavaScript's optimum ability, this book is for you. You need a basic knowledge of JavaScript and programming logic to start having fun with algorithms. What You Will Learn Declare, initialize, add, and remove items from arrays, stacks, and queues Get the knack of using algorithms such as DFS (Depth-first Search) and BFS (Breadth-First Search) for the most complex data structures Harness the power of creating linked lists, doubly linked lists, and circular linked lists Store unique elements with hash tables, dictionaries, and sets Use binary trees and binary search trees Sort data structures using a range of algorithms such as bubble sort, insertion sort, and quick sort In Detail This book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database. This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter, we'll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks. Toward the end of the book, you'll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches. Style and approach This book gets straight to the point, providing you with examples of how a data structure or algorithm can be used and giving you real-world applications of the algorithm in JavaScript. With real-world use cases associated with each data structure, the book explains which data structure should be used to achieve the desired results in the real world.
Data Structures And Algorithms With Javascript
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Author : Michael McMillan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-03-10
Data Structures And Algorithms With Javascript written by Michael McMillan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-10 with Computers categories.
As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C♯ and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms--including linked lists, stacks, queues, and graphs--within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included. This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms.
Algorithms Javascript
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Author : Yang Hu
language : en
Publisher: Independently Published
Release Date : 2020-07-19
Algorithms Javascript written by Yang Hu and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-19 with categories.
This book is rich in examples, with beautiful pictures and texts, and explains the data structure and algorithms in a way that is easy to understand. It is designed to help programmers better use the energy of algorithms in daily projects.1. Classic reference book in the field of algorithms: reflects the core knowledge system of algorithms2. Comprehensive content: Comprehensive discussion of sorting, linked list, search, hash, graph and tree algorithms and data structures, covering the algorithms commonly used by every programmer3. The new JavaScript implementation code, using a modular programming style, gives the actual code of the algorithm.Simple is the beginning of wisdom. From the essence of practice, this book to briefly explain the concept and vividly cultivate programming interest, you will learn it easy, fast and well
Easy Learning Data Structures And Algorithms Javascript 2 Edition
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Author : yang hu
language : en
Publisher: Independently Published
Release Date : 2021-05-26
Easy Learning Data Structures And Algorithms Javascript 2 Edition written by yang hu and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-26 with categories.
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 developing software. It can provide a complete solution that acts like reusable code. In this book, you will learn how to use various data structures while developing in the ES6 + JavaScript language as well as how to implement some of the most common algorithms used with such data structures. You will get to know arrays, lists, linkedlist together with real-world examples of your application. Then, you will learn how to create and use stacks and queues. In the following part of the book, the more complex data structures will be introduced, namely Trees and graphs, together with some algorithms for searching the shortest path in a graph. This book is rich in examples, with beautiful pictures and texts, and step by step explains the data structure and algorithms in a way that is easy to understand.
Data Structures And Algorithms In Javascript
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Author : Federico Kereki
language : en
Publisher: No Starch Press
Release Date : 2025-01-28
Data Structures And Algorithms In Javascript written by Federico Kereki and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-28 with Computers categories.
Not the Same Old JavaScript. Think you know JavaScript? Think again. This isn’t your typical coding book—it’s a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in JavaScript. Whether you’re a frontend developer tackling complex applications, a backend engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code. Key features include: Modern JavaScript techniques: Use the latest language features and functional programming principles for cleaner, more efficient code. Performance-focused approach: Analyze and optimize algorithms using Big O notation. Essential algorithms explained: Implement and fine-tune core algorithms like quicksort, merge sort, digital search, and binary search. Algorithm design strategies: Solve challenging problems with techniques like recursion, dynamic programming, backtracking, and brute-force search. Advanced data structures: Explore complex structures such as binary search trees, heaps, and graphs. Each chapter is carefully crafted with clear, no-nonsense explanations of complex concepts, real-world coding examples, and challenging questions (with answers at the end) to reinforce your understanding. Ready to break free from ordinary JavaScript? Whether your aim is to build cutting-edge web applications, optimize critical systems, or land your dream job, this book equips you with the advanced JavaScript knowledge that sets true experts apart.
Easy Learning Data Structures Algorithms Es6 Javascript
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Author : Yang Hu
language : en
Publisher:
Release Date : 2019-05-29
Easy Learning Data Structures Algorithms Es6 Javascript written by Yang Hu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-29 with categories.
Understand data structures and the associated algorithms, as well as the context in which they are used.Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs.All concepts are explained in an easy way, followed by examples.You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter.ECMAScript 6 (ES6). This book provides a highly practical look at ES6, This book takes a user-friendly approach to covering ES6 Javascript data structures. 1. Bubble Sorting Algorithm2. Select Sorting Algorithm3. Insert Sorting Algorithm4. Dichotomy Binary Search5. Unidirectional Linked List5.1 Create and Initialization5.2 Add Node5.3 Insert Node5.4 Delete Node6. Doubly Linked List6.1 Create and Initialization6.2 Add Node6.3 Insert Node6.4 Delete Node7. One-way Circular LinkedList7.1 Initialization and Traversal7.2 Insert Node7.3 Delete Node8. Two-way Circular LinkedList8.1 Initialization and Traversal8.2 Insert Node8.3 Delete Node9. Queue10. Stack11. Recursive Algorithm12. Two-way Merge Algorithm13. Quick Sort Algorithm14. Binary Search Tree14.1 Construct a binary search tree14.2 Binary search tree In-order traversal14.3 Binary search tree Pre-order traversal14.4 Binary search tree Post-order traversal14.5 Binary search tree Maximum and minimum14.6 Binary search tree Delete Node15. Binary Heap Sorting16. Hash Table17. Graph17.1 Undirected Graph and Depth-Frst Search17.2 Undirected Graph and Breadth-First Search17.3 Directed Graph and Depth-Frst Search17.4 Directed Graph and Breadth-First Search17.5 Directed Graph Topological Sorting
Javascript Data Structures And Algorithms
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Author : Sammie Bae
language : en
Publisher: Apress
Release Date : 2019-01-23
Javascript Data Structures And Algorithms written by Sammie Bae and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-23 with Computers categories.
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, searching, sorting, and pattern matching. It is crucial for JavaScript developers to understand how data structures work and how to design algorithms. This book and the accompanying code provide that essential foundation for doing so. With JavaScript Data Structures and Algorithms you can start developing your knowledge and applying it to your JavaScript projects today. What You'll Learn Review core data structure fundamentals: arrays, linked-lists, trees, heaps, graphs, and hash-table Review core algorithm fundamentals: search, sort, recursion, breadth/depth first search, dynamic programming, bitwise operators Examine how the core data structure and algorithms knowledge fits into context of JavaScript explained using prototypical inheritance and native JavaScript objects/data types Take a high-level look at commonly used design patterns in JavaScript Who This Book Is For Existing web developers and software engineers seeking to develop or revisit their fundamental data structures knowledge; beginners and students studying JavaScript independently or via a course or coding bootcamp.
A Common Sense Guide To Data Structures And Algorithms In Javascript Volume 1
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Author : Jay Wengrow
language : en
Publisher: The Pragmatic Programmers LLC
Release Date : 2024-08-07
A Common Sense Guide To Data Structures And Algorithms In Javascript Volume 1 written by Jay Wengrow and has been published by The Pragmatic Programmers LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-07 with Computers categories.
If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your JavaScript code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work. 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. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. The JavaScript edition uses JavaScript exclusively for all code examples, exercises, and solutions. Use Big O notation 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. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your JavaScript code faster and more scalable. What You Need: Certain code examples take advantage of recently introduced JavaScript features. Therefore, it's important to use a JavaScript environment that supports ECMAScript 6+ or a newer version.
Javascript Algorithms Step By Step A Practical Guide With Examples
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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-04-04
Javascript Algorithms Step By Step A Practical Guide With Examples written by William E. Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-04 with Computers categories.
"JavaScript Algorithms Step by Step: A Practical Guide with Examples" offers an in-depth exploration of JavaScript as a powerful tool for solving algorithmic problems. This book provides readers with a thorough understanding of both basic and complex algorithms, using the flexibility and comprehensiveness of JavaScript to illustrate real-world applications. Whether you are an aspiring developer or a seasoned programmer looking to refine your skills, this guide provides the essential knowledge and practical experience needed to harness JavaScript for algorithm development. Structured to facilitate a step-by-step learning process, the book begins by establishing the core programming concepts and environments necessary for efficient JavaScript coding. Each subsequent chapter builds on this foundation, delving into topics such as variable manipulation, control flow mechanisms, data structures, and recursion. Detailed examples and exercises ensure that readers not only grasp theoretical concepts but also gain practical skills in implementing these concepts with precision. By integrating traditional algorithmic principles with modern JavaScript practices, the book bridges the gap between theoretical and practical coding techniques. Readers will emerge from this book with the capability to design and implement algorithms tailored to specific requirements, using JavaScript's robust features. The guide provides the tools needed to analyze, optimize, and elevate their programming capabilities, turning algorithmic challenges into manageable tasks. This comprehensive resource equips readers to tackle a wide array of computational problems, fostering a deeper understanding of both fundamental and advanced programming concepts and empowering them to develop efficient, scalable JavaScript applications.