Data Structures and Algorithms, Explained Visually

A beginner-friendly DSA tutorial that explains arrays, indexes, linear search, complexity, mistakes, and practice problems.

Learn stack operations, LIFO behavior, common use cases, and implementation patterns.

Learn queue operations, FIFO behavior, and why queues are used for ordered processing.

Learn the double-ended queue, where both front and rear support insert and remove operations.

Learn nodes, head pointers, next links, traversal, insertion, and deletion in a singly linked list.

Learn how doubly linked lists use next and previous links for two-way traversal.

Learn the common tricky patterns that appear again and again in array and linked-list problems.

Learn binary search on sorted arrays with the left, right, and mid pointer pattern.

Learn fixed and variable sliding windows for subarray and substring problems.

Learn prefix sums for fast range queries and subarray-sum problems.

Learn hash maps for fast lookup, counting, grouping, and classic two-sum style problems.

Learn recursion through base cases, recursive calls, call stacks, and common beginner mistakes.

Learn why sorting changes problem difficulty and compare common sorting algorithms.

Learn tree terminology, traversal order, and how recursive thinking applies to hierarchical data.

Learn graph terminology, adjacency lists, BFS, DFS, and when graph thinking is useful.