Algorithms and Data Structures in JavaScript (Node.js)

The book "Algorithms and Data Structures in JavaScript (Node.js)" is a practical guide for developers who want to deepen their knowledge of building efficient algorithms and working with data in the Node.js environment. The author, Alexey Petrov, a senior developer with 10 years of experience, has compiled proven approaches and solutions in this book that will help you write fast, scalable, and maintainable code.

What is this book about?

The book covers all the key topics necessary for confidently working with algorithms and data structures in JavaScript:

• Basics of Complexity Analysis: Big O notation, amortized analysis, and how to choose optimal algorithms.
• Basic Data Structures: arrays, linked lists, stacks, queues, hash tables — their implementation and features in Node.js.
• Trees and Graphs: binary search trees, AVL trees, traversal algorithms (BFS, DFS), shortest path finding (Dijkstra, A*).
• Sorting and Searching Algorithms: from quicksort to binary search, working with large volumes of data.
• Dynamic Programming: solving classic problems (knapsack, LIS, Levenshtein) with memory optimization.
• Practice in Node.js: asynchronous algorithms, working with streams, optimization for V8 and the Event Loop.

Who is this book for?

• Junior and Middle developers who want to pass a technical interview at a top IT company.
• Backend developers on Node.js striving to write performant code.
• Students and teachers studying Computer Science in practice.

What will you learn?

• How to choose a data structure for a specific task (for example, when Set is better than Map).
• How to implement caching using an LRU cache in JavaScript.
• How to optimize algorithms for working with big data in Node.js (streams, buffers).
• How to solve interview problems: from Two Sum to complex graph algorithms.

All code examples are provided with detailed comments and tests. At the end of each chapter, there are practical assignments to reinforce the material. The book is suitable both for self-study and for use as a reference.

Immerse yourself in the world of efficient programming in JavaScript and Node.js — and your applications will become faster, and your code cleaner!