data structures and algorithms in javascript book

They cover core structures such as arrays/lists, stacks, queues, linked lists, dictionaries (hashing), sets, binary trees, and graphs. One of the books also highlights advanced structures like binary search trees and heaps.

They target practicing JavaScript developers who want stronger computer-science skills. One is aimed at experienced JS developers moving into server-side work, while the other addresses front-end and back-end developers and programmers preparing for technical interviews.

They take a performance-focused approach, discussing Big O analysis and helping readers understand tradeoffs when choosing and using data structures and algorithms in JavaScript.

They cover algorithm design strategies such as recursion, dynamic programming, backtracking, brute-force search, and also discuss greedy algorithms as part of advanced topics.

They include real-world coding examples and challenging practice questions with answers, encouraging hands-on work with storage and structure implementations like linked lists, stacks, queues, and graphs.