Hands On Data Structures And Algorithms With Javascript
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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 ...
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.
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.
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.
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 At Scale
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Author : Adam Boduch
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-07-31
Javascript At Scale written by Adam Boduch 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 2015-07-31 with Computers categories.
JavaScript applications of today look a lot different from their predecessors of just five years ago. Because of this rapid growth in sophistication and capabilities, we've seen an explosion in JavaScript frameworks; the JavaScript development landscape is a fragmented one. To build large-scale JavaScript applications, we need more than just tools – we need scalable architectures. We create scalable JavaScript architectures by looking at what aspects of our application need to scale and why. Only then can we apply the best patterns and components to our architecture, scaling it into the future. JavaScript at Scale will show you how to deal with scalability from a number of perspectives; addressability, testability and component composition. The book begins by defining 'scale' from a JavaScript point of view, and dives into the influencers of scale, as well as scalable component composition and communication. We will also look at how large-scale architectures need the ability to scale down, and recover from failing components, as well as scale up and manage new features or a large user base. Filled with real-world JavaScript scaling scenarios, and code-first examples, JavaScript at Scale is your guide to building out applications that last. Each topic is covered in a way that it can be applied to your own unique scenarios; by understanding the fundamentals of a scaling issue, you'll be able to use that knowledge to tackle even the most difficult of situations. The code examples follow the same approach, using ECMAScript 6 syntax that can be translated to the framework of choice.
Javascript Data Structures Explained A Practical Guide With Examples
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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-04-03
Javascript Data Structures Explained 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 2025-04-03 with Computers categories.
"JavaScript Data Structures Explained: A Practical Guide with Examples" is an essential resource for developers and computer science students seeking to master the intricacies of data structures using JavaScript. This book takes a methodical approach in elucidating the fundamental concepts, ensuring that readers grasp the essential elements needed to construct efficient algorithms. It comprehensively covers a wide array of data structures from the basics of arrays and strings to more complex constructs like linked lists, trees, and graphs. Each chapter is meticulously crafted to build upon the previous one, offering both theoretical insights and practical coding exercises. Readers will explore JavaScript's native data structures and learn how to effectively leverage them in developing robust applications. Advanced topics such as hashing, recursion, and algorithm analysis are systematically introduced, enabling readers to optimize their code for performance and efficiency. By emphasizing real-world applications, the book helps bridge the gap between understanding concepts and applying them to solve complex programming challenges. Designed for both novice and experienced programmers, this guide serves as an indispensable tool for anyone dedicated to advancing their knowledge in web development and algorithmic problem-solving. With its clear examples and detailed explanations, readers will gain the competence to implement powerful data structures within their JavaScript projects, paving the way for enhanced scalability and functionality in software development endeavors.
Practical Web Design
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Author : Philippe Hong
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-30
Practical Web Design written by Philippe Hong 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 2018-04-30 with Computers categories.
Web design is the process of creating websites. It encompasses several different aspects, including webpage layout, content production, and graphic design. This book offers you everything you need to know for building your websites.
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
A Common Sense Guide To Data Structures And Algorithms In Javascript Volume 1
DOWNLOAD
Author : Jay Wengrow
language : en
Publisher:
Release Date : 2024-09-24
A Common Sense Guide To Data Structures And Algorithms In Javascript Volume 1 written by Jay Wengrow and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-24 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.