Learn Why,
Not Just How
Data Structures taught from first principles. No paid courses. No pattern memorization. Just real understanding through interactive visualizations.
"A data structure is not a thing—it's a pattern of memory + rules of access."
How Data Structures Came to Exist
This is the story we teach, again and again
Physical Reality
Computers have memory. Memory is linear. Access has cost.
Human Problems
Searching took too long. Inserting was expensive. Memory was limited.
Abstraction
Humans asked: 'Can we arrange data so common work is cheaper?'
That arrangement = data structure. This framing will change how you see everything.
Our Teaching Philosophy
Visual First
See the data move in memory. Understanding comes from watching, not memorizing.
Cost Awareness
Every operation has a cost. We show you exactly how many steps each action takes.
Why, Not What
We don't just show you structures. We show you the problems that created them.
Choose Your Data Structure
Each one exists because of a specific problem. Learn the problem first.
Arrays
Contiguous memory enables instant position access
Why it exists: Memory is linear. If items are back-to-back, we can calculate any position.
✓ Gained: O(1) access
⚠ Sacrificed: Expensive insertions.
Linked Lists
Pointers mean movement is cheaper than shifting
Why it exists: Changing a pointer is O(1). Shifting n elements is O(n).
✓ Gained: O(1) insert/delete
⚠ Sacrificed: No random access.
Stacks & Queues
Restricting access patterns solves specific problems
Why it exists: Function calls naturally nest. Tasks naturally queue.
✓ Gained: Simplicity, efficiency for patterns
⚠ Sacrificed: Flexibility.
Hash Tables
Trade memory for near-instant lookup by key
Why it exists: Computing f(key) → index is O(1). Searching is O(n).
✓ Gained: O(1) average search
⚠ Sacrificed: Memory, ordering.
Trees
Divide and conquer enables logarithmic operations
Why it exists: Halving the search space each step: log₂(n) steps max.
✓ Gained: O(log n) operations
⚠ Sacrificed: Balance maintenance.
Graphs
When relationships matter more than positions
Why it exists: Real-world connections aren't linear or hierarchical.
✓ Gained: Model any relationship
⚠ Sacrificed: Complexity.
Why We Built This
We were tired of seeing students struggle with DSA because of expensive courses that focus on pattern memorization rather than understanding. The best engineers don't memorize solutions—they understand why data structures exist andwhen to use them. This platform is our attempt to make that understanding accessible to everyone, for free.
Inspired by VisuAlgo and the belief that education should be free.
