Algorithms and Data Structures in TypeScript
Algorithms and Data Structures in TypeScript
Summary:
The book "Algorithms and Data Structures in TypeScript" is a practical guide that bridges the gap between academic theory and real-world development. Written specifically for the TypeScript community, it will help you master fundamental Computer Science concepts through the lens of static typing, interfaces, and generics.
Who is this book for?
- Junior and Middle developers preparing for technical interviews at large companies;
- Backend and Fullstack engineers looking to write more efficient and predictable code;
- Anyone who wants to systematize their knowledge of algorithms and learn to apply them in practice.
What will you learn?
- Implementation of classic data structures: stacks, queues, linked lists, trees, graphs, and hash tables — with full TypeScript typing compliance;
- Sorting algorithms (quick sort, merge sort, heap sort) and search algorithms (binary search, BFS, DFS) with complexity analysis;
- Algorithm design patterns: dynamic programming, greedy algorithms, divide and conquer;
- How to use generics and interfaces to create reusable abstractions;
- Solutions to common interview problems with step-by-step breakdowns.
Why TypeScript? Unlike traditional books on Python or Java, this work takes into account the specifics of the JavaScript/TypeScript ecosystem: asynchronicity, event-loop, prototypal inheritance, and memory management specifics. All examples are tested and ready for use in real projects.
The book is structured on the principle of "from simple to complex": each chapter contains theory, visualizations, ready-to-use code, and exercises for reinforcement. You won't just read about algorithms — you will learn to write them in TypeScript so that they work efficiently and are understandable to your colleagues.
Perfect for both self-study and as a reference guide when preparing for technical interviews. Start writing code that doesn't just work, but works optimally.
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