Build intuition before memorizing code
Understand how data structures and algorithms execute step by step through clear visual states, hands-on interaction, and plain-language breakdowns.
Learning Paths
Choose a structured track based on your current experience level.
Foundations
Master basic memory layouts, pointer logic, and Big O notation fundamentals.
Data Structures
Explore arrays, linked lists, trees, and graphs through step-by-step visual manipulation.
Algorithms
Understand sorting routines, search logic, and graph traversal step by step.
Complexity Analysis
Compare time and space trade-offs across different data structures and algorithms.
Recommended Sequence for Beginners
Follow this step-by-step order if you are learning DSA for the first time.
ArraysStep 01 →
Contiguous memory allocation, indexing, and linear traversal.
Linked ListsStep 02 →
Dynamic nodes, pointer manipulation, and singly vs doubly linked structures.
Stacks & QueuesStep 03 →
LIFO vs FIFO protocols, call stacks, and buffer management.
SearchingStep 04 →
Linear search vs binary search on sorted sequences.
SortingStep 05 →
Comparison-based sorting algorithms: Bubble, Insertion, Merge, Quick Sort.
Trees & GraphsStep 06 →
Hierarchical data, binary search trees, graph representations, and traversals.
How Anemo Teaches
Our interactive visualization architecture breaks down complex algorithm operations into clear, observable steps.
Visual State Inspection
Watch data structures change state dynamically as operations execute.
Highlighted Logic
Follow pseudocode execution step by step alongside visual updates.
Live Variables
Inspect loop counters, pointers, and memory values in real time.
Controlled Playback
Pause, step forward, rewind, or adjust execution speed at your own pace.