Data Structures Algorithms Using Javascript
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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.
Data Structures Algorithms Using Javascript
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Author : Hemant Jain
language : en
Publisher:
Release Date : 2019-06
Data Structures Algorithms Using Javascript written by Hemant Jain and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06 with categories.
Data Structures & Algorithms books by Hemant Jain 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 these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories for these books. https: //github.com/Hemant-Jain-Author Book's Composition This book introduces you to the world of data structures and algorithms. Data structures defines the way in which data is arranged in memory for fast and efficient access while algorithms are a set of instruction to solve problems by manipulating these data structures. Designing an efficient algorithm is a very important skill that all software companies, e.g. Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in you jobs as a software engineer. This book assumes that you are a C language developer. You are not an expert in C language, but you are well familiar with concepts of classes, functions, arrays, pointers and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into a Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques. In last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking. . Table of Contents Chapter 0: How to use this book. Chapter 1: Algorithms Analysis Chapter 2: Approach to solve algorithm design problems Chapter 3: Abstract Data Type & C# Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash-Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute Force Algorithm Chapter 16: Greedy Algorithm Chapter 17: Divide & Conquer Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theory
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
Hands On Data Structures And Algorithms With Javascript
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Author : Kashyap Mukkamala
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-01-30
Hands On Data Structures And Algorithms With Javascript written by Kashyap Mukkamala 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 2018-01-30 with Computers categories.
Data structures and algorithms are the fundamental building blocks of computer programming. They are critical to any problem, provide a complete solution, and act like reusable code. Using appropriate data structures and having a good understanding of algorithm analysis are key in JavaScript to solving crises and ensuring your application is ...
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 : 2014-10-27
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 2014-10-27 with Computers categories.
If you are a JavaScript developer or someone who has basic knowledge of JavaScript, and want to explore its optimum ability, this fast-paced book is definitely for you. Programming logic is the only thing you need to know to start having fun with algorithms.
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.
Javascript Exercises With Data Structures And Algorithms
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Author : Haris Tsetsekas
language : en
Publisher: Independently Published
Release Date : 2024-07-05
Javascript Exercises With Data Structures And Algorithms written by Haris Tsetsekas and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-05 with Computers categories.
This book presents a variety of advanced programming exercises in the JavaScript language. Starting from simpler examples that involve JavaScript classes, the book continues with exercises featuring data structures, like linked lists, hash maps, stacks, queues, graphs, and trees. It also presents examples of algorithm use, like searching, sorting, and traversing of structures. Advanced concepts, such as Node.js file handling and web sockets are also presented in the book. Learners of the JavaScript language will greatly benefit from this book and will advance their grasp of the language by training on interesting code scenarios.
Learning Javascript Data Structures And Algorithms Third Edition
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Author : Loiane Groner
language : en
Publisher:
Release Date : 2018
Learning Javascript Data Structures And Algorithms Third Edition written by Loiane Groner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with JavaScript (Computer program language) categories.
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 JavaScript About This Book 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 Who This Book Is For If 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. 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 In Detail A 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. Style and approach Easy to follow guide which will cover the most used data s ...
Mastering Data Structures In Javascript
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Author : THOMPSON. CARTER
language : en
Publisher: Independently Published
Release Date : 2025-01-21
Mastering Data Structures In Javascript written by THOMPSON. CARTER and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Computers categories.
Mastering Data Structures in JavaScript: A Practical Guide to Efficient Data Management in JavaScript Unleash the power of JavaScript to master data structures and build efficient, high-performing applications with Mastering Data Structures in JavaScript. This practical guide is designed for developers, coding enthusiasts, and computer science students who want to enhance their understanding of data structures and algorithms using JavaScript. Whether you're building web applications, games, or scalable backend systems, this book provides the tools and techniques to manage data effectively and optimize your code. Packed with hands-on examples, visual explanations, and real-world projects, Mastering Data Structures in JavaScript makes even the most complex concepts accessible and actionable, empowering you to solve problems faster and create robust, efficient applications. What You'll Learn: JavaScript Fundamentals for Data Structures: Understand the essential JavaScript concepts needed for implementing data structures, including ES6+ features. Core Data Structures: Learn to implement and use arrays, linked lists, stacks, queues, and hash tables to manage data efficiently. Advanced Data Structures: Explore binary trees, heaps, graphs, and tries for solving complex problems. Algorithmic Applications: Understand how algorithms like searching, sorting, and traversal work with different data structures. Big-O Notation: Master Big-O analysis to measure and optimize the performance of your algorithms. Custom Data Structures: Build and extend your own data structures tailored to specific use cases. Recursive Programming: Learn the power of recursion in implementing and manipulating data structures like trees and graphs. Memory Management: Explore how JavaScript handles memory and garbage collection to write efficient code. Real-World Use Cases: Discover how data structures are applied in web development, gaming, databases, and machine learning. Debugging and Optimization: Gain strategies for identifying bottlenecks and optimizing your code for maximum performance. Testing and Validation: Use testing frameworks to ensure the accuracy and reliability of your data structures and algorithms. Data Structures for Asynchronous Programming: Leverage JavaScript's event loop and asynchronous capabilities for managing data efficiently in real-time applications. Who Is This Book For? Whether you're a JavaScript beginner looking to deepen your knowledge or an experienced developer aiming to refine your skills, this book provides a structured and approachable way to master data structures. By the end of the guide, you'll have a solid foundation for tackling real-world problems and writing clean, efficient, and scalable JavaScript code. Transform your coding skills today with Mastering Data Structures in JavaScript: A Practical Guide to Efficient Data Management in JavaScript-your go-to resource for mastering data structures in JavaScript development.