Section 01
Foundations
Big-O, complexity classes, V8 internals, and how to measure.
8 / 8 lessons
ES2024 · intermediate
Data Structures & Algorithms track
The complete DSA track for JS engineers. Big-O, every core data structure (arrays, hash maps, linked lists, stacks, queues, trees, heaps, graphs, tries), every classic algorithm (sorting, searching, recursion, DP, greedy, graph algos, string algos), plus the V8 and Node.js performance reality every JS algorithm runs on top of.
Start the first lesson
125 of 125 lessons live
Categories: 🧠 Fundamentals
Section 02
Arrays & Strings
Two-pointers, sliding window, prefix sums, Kadane, string algorithms.
10 / 10 lessons
Section 03
Hashing
Map, Object, Set, WeakMap/WeakSet, frequency counting, LRU.
7 / 7 lessons
Section 04
Linked Lists
Singly, doubly, circular — reversal, cycles, merging.
8 / 8 lessons
Section 05
Stacks & Queues
Stacks, queues, deques, monotonic stacks, circular buffers.
8 / 8 lessons
Section 06
Recursion & Backtracking
Recursion mechanics, divide-and-conquer, permutations, N-Queens.
9 / 9 lessons
Section 07
Sorting
Every classic sort + V8's TimSort.
10 / 10 lessons
Section 08
Searching
Linear, binary, binary-on-answer, exponential, ternary, rotated.
6 / 6 lessons
Section 09
Trees
Binary trees, BST, traversals, LCA, balanced trees.
10 / 10 lessons
Section 10
Heaps & Priority Queues
Binary heaps, heapify, PQ in JS, top-K, running median.
6 / 6 lessons
Section 11
Graphs
BFS, DFS, topo sort, Dijkstra, Bellman-Ford, MST, Union-Find.
10 / 10 lessons
Section 12
Tries
Prefix trees, autocomplete, word search, suffix tries.
5 / 5 lessons
Section 13
Dynamic Programming
Memoization, tabulation, knapsack, LCS, LIS, edit distance.
10 / 10 lessons
Section 14
Greedy & Bit Manipulation
Greedy strategies, interval scheduling, Huffman, JS bit ops.
8 / 8 lessons
Section 15
Node.js for Algorithms & Interview Patterns
Event loop, worker_threads, streams, profiling, interview patterns.
10 / 10 lessons
- 01 The Node.js Event Loop
- 02 Sync vs Async Performance
- 03 Worker Threads for CPU-Bound Algorithms
- 04 Streams for Large Data Processing
- 05 Profiling Node.js Algorithms
- 06 Memory Tuning and Heap Snapshots
- 07 Pattern Recognition Cheat Sheet
- 08 Complexity Trade-offs
- 09 Common Algorithm Pitfalls
- 10 Going Further