Algorithms and Data Structures in TypeScript
300 pages
English
PDF
4.5

Algorithms and Data Structures in TypeScript

Algorithms and Data Structures in TypeScript

Author:

Year:

Summary:

The book "Algorithms and Data Structures in TypeScript" is a practical guide that helps developers master fundamental computer science concepts through the lens of strict typing and modern TypeScript features. Unlike abstract textbooks, each topic here is supported by real code examples, ready to be used in projects.



What is this book about?

The author systematically covers key data structures and algorithms, starting with simple arrays and lists and ending with complex graphs and search trees. Special attention is given to:

  • Basic structures: stack, queue, linked lists (singly linked, doubly linked) with implementation in TypeScript
  • Sorting and search algorithms: quicksort, binary search, merge sort — with analysis of time and space complexity
  • Trees: binary search trees, AVL trees, red-black trees, and traversals (BFS, DFS)
  • Graphs: graph representation (adjacency matrix, adjacency list), Dijkstra's algorithm, Bellman-Ford algorithm, A*
  • Dynamic programming: knapsack problem, longest common subsequence, memoization in TypeScript
  • Hash tables and sets: implementation with collisions, iterators, generics


Who is this book for?

The book will be useful for:

  • Junior and Middle developers who want to improve their algorithmic thinking and prepare for technical interviews
  • Backend developers using Node.js striving to write efficient and scalable code
  • Frontend specialists working with TypeScript who want to deepen their understanding of data structures for optimizing UI logic
  • Students and beginner programmers learning TypeScript as their primary language


What will you learn after reading?

  • How to choose the optimal data structure for a specific task
  • How to implement algorithms using strict typing and TypeScript generics
  • How to evaluate algorithm complexity (Big O) and avoid common performance pitfalls
  • How to write reusable algorithmic modules for your projects
  • How to solve real-world problems: from finding the shortest path to data compression


All code examples are available in the book's repository and are fully compatible with the latest versions of TypeScript. The book is suitable both for self-study and for use as a reference in daily work.

Recommendations