What is Data Structures and Algorithms in JavaScript about?

Data Structures and Algorithms in JavaScript is a comprehensive javascript guide covering practical concepts for professionals and students. Data Structures and Algorithms in JavaScript is the definitive guide for JavaScript developers who want to write efficient, scalable code and excel...

Is Data Structures and Algorithms in JavaScript suitable for beginners?

Yes, Data Structures and Algorithms in JavaScript is designed for both beginners and intermediate practitioners with step-by-step explanations and practical examples.

Who is the author of Data Structures and Algorithms in JavaScript?

Data Structures and Algorithms in JavaScript is authored by Dargslan, an expert in javascript with extensive practical experience.

Where can I purchase Data Structures and Algorithms in JavaScript?

You can purchase Data Structures and Algorithms in JavaScript directly from Dargslan TechBooksPro with instant digital access and worldwide availability.

Data Structures and Algorithms in JavaScript

Name: Data Structures and Algorithms in JavaScript
Brand: Dargslan
SKU: HPT0NQKI1PK6
Price: 5.99 EUR
Availability: InStock
Author: Dargslan
ISBN: HPT0NQKI1PK6

About This Book

**Data Structures and Algorithms in JavaScript** is the definitive guide for JavaScript developers who want to write efficient, scalable code and excel in technical interviews. Unlike generic computer science textbooks, this comprehensive resource is specifically crafted for JavaScript developers, featuring real-world implementations using modern ES6+ syntax and JavaScript's unique characteristics. ## What Sets This Book Apart This book bridges the critical gap between theoretical computer science concepts and practical JavaScript development. Every data structure and algorithm is implemented in idiomatic JavaScript, leveraging the language's built-in methods while teaching you when and how to create custom implementations for optimal performance. ## Comprehensive Coverage The book covers essential data structures including arrays, objects, sets, stacks, queues, linked lists, trees, tries, graphs, and heaps. You'll master fundamental algorithms for searching, sorting, recursion, divide and conquer, and dynamic programming. Each concept is reinforced with practical examples and real-world applications that demonstrate how these tools solve actual development challenges. ## Practical Application Focus Beyond theoretical understanding, you'll learn to analyze time and space complexity, choose appropriate data structures for specific problems, and apply algorithmic thinking to JavaScript development scenarios. The book includes extensive interview preparation materials, coding challenges, and strategies that have helped countless developers succeed in technical interviews at top technology companies. ## Professional Development Resource With 17 comprehensive chapters and 5 practical appendices, this book serves as both a learning guide and ongoing reference. The included cheatsheet, JavaScript syntax refresher, glossary, and challenge problems with detailed solutions make it an invaluable resource you'll return to throughout your career. Whether you're optimizing React applications, building scalable Node.js backends, or preparing for your next career opportunity, this book provides the JavaScript-specific knowledge and practical skills needed to excel in modern software development.

Quick Overview

Master JavaScript data structures and algorithms through practical examples, real-world applications, and interview preparation. Build efficient, scalable code.

Key Topics Covered

Arrays and built-in methods
Objects and hash maps
Sets and WeakSets
Stacks and queues implementation
Linked lists in JavaScript
Binary trees and tree traversal
Tries and prefix trees
Graph algorithms and traversal
Heaps and priority queues
Binary search implementations
Sorting algorithms comparison
Recursion and divide conquer
Dynamic programming introduction
Time complexity analysis
Space complexity optimization
Interview coding strategies
LeetCode problem solving
JavaScript performance optimization
Algorithmic thinking development
Data structure selection criteria

Who Should Read This Book

JavaScript developers seeking to improve coding skills, Frontend developers optimizing React/Vue applications, Node.js backend developers building scalable systems, Full-stack developers preparing for technical interviews, Computer science students learning through practical JavaScript examples, Career changers transitioning into JavaScript development, Senior developers mentoring junior team members, Software engineers preparing for FAANG company interviews

Prerequisites

Basic JavaScript knowledge, Understanding of functions and variables, Familiarity with ES6 syntax (let/const, arrow functions), Basic programming concepts, Problem-solving mindset

| Chapter | Title | Page | | ------- | ----------------------------------------------------------- | ---- | | Intro | Introduction | 7 | | 1 | Arrays | 18 | | 2 | Objects (Hash Maps) | 33 | | 3 | Sets | 51 | | 4 | Stacks | 68 | | 5 | Queues | 88 | | 6 | Linked Lists | 111 | | 7 | Trees | 133 | | 8 | Tries (Prefix Trees) | 154 | | 9 | Graphs | 174 | | 10 | Heaps and Priority Queues | 194 | | 11 | Searching Algorithms | 215 | | 12 | Sorting Algorithms | 236 | | 13 | Recursion and Divide & Conquer | 264 | | 14 | Dynamic Programming (Intro) | 280 | | 15 | Common Algorithmic Challenges | 296 | | 16 | Analyzing Time and Space Complexity | 321 | | 17 | Strategies for Interviews | 340 | | App | JavaScript Data Structure & Algorithm Cheatsheet | 358 | | App | JavaScript Syntax Refresher | 382 | | App | Glossary of Key Terms | 402 | | App | Recommended Practice Platforms (LeetCode, HackerRank, etc.) | 421 | | App | Challenge Problems with Solutions | 435 |

About This Publication

**Data Structures and Algorithms in JavaScript** is your comprehensive guide to mastering the fundamental building blocks of efficient programming using JavaScript. This book is specifically designed for JavaScript developers who want to elevate their coding skills, optimize application performance, and succeed in technical interviews. You'll learn how to implement and utilize essential data structures including arrays, objects, sets, stacks, queues, linked lists, trees, graphs, and heaps—all using modern JavaScript syntax and best practices. The book covers crucial algorithms for searching, sorting, recursion, and dynamic programming, with each concept demonstrated through practical examples and real-world applications. What makes this book unique is its JavaScript-first approach. Rather than translating generic pseudocode, you'll work with implementations that leverage JavaScript's strengths and account for its specific characteristics. You'll understand not just how these tools work, but when and why to use them in your JavaScript projects. By the end of this book, you'll have developed strong algorithmic thinking skills, the ability to analyze code efficiency, and confidence in tackling complex programming challenges. The comprehensive appendices ensure you have ongoing reference materials and practice problems to continue developing your skills long after your initial read-through.

Book Details

Format: PDF
File Size: 2.5 MB
Chapters: 17
Code Examples: 99
Exercises: 99
Difficulty Level: beginner
Reading Time: 32-36

Special Features

• JavaScript-first approach with all examples in modern ES6+ syntax • Real-world applications and practical implementation examples • Comprehensive interview preparation with coding challenges and solutions • Step-by-step algorithm implementations with detailed explanations • Time and space complexity analysis for every major concept • Five practical appendices including cheatsheets and reference materials • Progressive difficulty from basic arrays to advanced graph algorithms • Code examples optimized for both browser and Node.js environments • Common pitfalls and debugging strategies specific to JavaScript • Extensive glossary and quick-reference materials