Learning roadmap
From your first algorithm to the job offer
Follow the path step by step. Every stage builds on the one before, with animations first, then real code, then practice.
Data Structures & Algorithms
Pick your language: the same visual curriculum in each.
Foundations
5 topicsBig O & Complexity
Measure time and space so you can compare solutions with confidence.
Arrays & Strings
Two pointers, sliding windows, prefix sums and in-place techniques.
Linked Lists
Singly and doubly linked lists, fast & slow pointers, reversal.
Stacks & Queues
LIFO and FIFO structures, monotonic stacks and deques.
Hash Tables
Hashing, collisions and constant-time lookups explained visually.
Core algorithms
4 topicsRecursion & Backtracking
Watch the call stack grow and unwind, then generate every solution.
Sorting & Searching
Bubble to merge and quick sort, plus binary search on any space.
Trees & BSTs
Traversals, balanced trees and binary search tree operations.
Heaps & Priority Queues
Heapify step by step and solve top-k and scheduling problems.
Advanced patterns
3 topicsGraphs
BFS, DFS, shortest paths, topological sort and union-find.
Greedy Algorithms
Learn when the locally best choice leads to the global optimum.
Dynamic Programming
Memoization and tabulation, built up one table cell at a time.
Practice for interviews
Use what you learned on real problems while the topics are fresh.
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Machine Learning
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