Learn, visualize,
code.

Don’t ever doubt yourself in DSA. Learn the top asked data structure and algorithm problems visually, unlock the logic behind every step, and solve problems with real confidence and excitement.

Sign up ›Free ForeverMilkySonu

Solving without visualization.

Staring at multiple arrays, recursion stacks, and 2D matrices using print statements is exhausting. When you can't see the algorithm, your mind has to do all the heavy lifting of state tracking.

FUNCTION solve(nums, target)
    SET L = 0
    SET R = length(nums) - 1

    WHILE L < R
        SET sum = nums[L] + nums[R]

        IF sum == target
            RETURN [L, R]

        IF sum < target
            MOVE L one step to the right
        ELSE
            MOVE R one step to the left
    END WHILE
END FUNCTION

Choose the Algorithm

Decode the Patterns Behind Every Great Solution

10
20
30
Swap Mutation
1
2
3
4
↑
L
↑
R
Two Pointers
1
2
3
4
Sliding Window
1
5
9
10
↑
L
↑
R
Binary Search
Value
Hash Table
3
2
1
Stack
1
→
9
→
2
→
3
Linked List
2D Matrix
ABCDE
Graphs
8412261014
Trees
2579111315
Heap / Priority Queue
1
1
2
3
5
8
↑
i
Dynamic Programming

Ready to master the algorithms?

Sign up now ›