Easy Learning Data Structures Algorithms Javascript
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Easy Learning Data Structures & Algorithms Javascript
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
Easy Learning Data Structures and Algorithms JavaScript (2 Edition)
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.
JavaScript Data Structures and Algorithms
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.