Algorithms and Data Structures in JavaScript (Node.js)

The book "Algorithms and Data Structures in JavaScript (Node.js)" is a practical guide that helps developers master fundamental computer science concepts through the lens of modern JavaScript and the Node.js runtime environment. Unlike abstract textbooks, this book focuses on real-world problems faced by backend developers, performance engineers, and creators of high-load systems.

What is this book about?

The book covers a full range of topics — from basic data structures to advanced graph algorithms. Each chapter is built on the principle of "from theory to practice": you first understand the mathematical foundation of an algorithm, then implement it in JavaScript, test it, and optimize it. Special attention is paid to the specifics of the JavaScript language — asynchrony, closures, prototypal inheritance, and memory management in V8.

Main sections of the book:

• Fundamental data structures: arrays, linked lists, stacks, queues, hash tables. Implementation considering Node.js specifics (buffers, streams).
• Trees and graphs: binary search trees, AVL trees, red-black trees, B-trees. Traversal algorithms (BFS, DFS) and shortest path search (Dijkstra, A*).
• Sorting and search algorithms: quicksort, merge sort, heapsort. Binary search and interpolation search.
• Dynamic programming: optimal partitioning problems, subsequence search, the knapsack problem.
• Algorithms for working with data: compression (Huffman), encoding, working with large data volumes via Node.js streams.
• Complexity analysis: Big O notation, amortized analysis, performance profiling in Node.js.

Who is this book for?

The book is ideal for:

• JavaScript developers who want to advance to a senior or team lead level;
• Node.js backend engineers striving to optimize the performance of their services;
• Students and course graduates who want to systematize their knowledge of algorithms;
• Developers preparing for technical interviews at large IT companies.

What will you learn?

After reading the book, you will be able to:

• Choose the optimal data structure for a specific task;
• Implement complex algorithms in pure JavaScript without external libraries;
• Understand how the V8 garbage collector works and how to write memory-friendly code;
• Use Node.js features (Event Loop, Streams, Buffers) for real-time data processing;
• Conduct benchmarking and optimization of algorithms using built-in Node.js tools.

Each chapter contains practical exercises and code examples that can be run immediately in the Node.js environment. The book is written in a lively, accessible language, and complex concepts are explained through analogies and visual diagrams. This is not just a reference book — it is a desktop companion for everyone who writes in JavaScript and wants to do it professionally.

Get ready to dive into a world where every millisecond matters, and the right choice of data structure can speed up your code tenfold. JavaScript is not just frontend, and this book will prove that Node.js is a powerful platform for