Data structures are specialized storage formats for organizing, processing, retrieving, and storing data. They allow for efficient access and modification of data, making it possible to run complex computations and tasks. The right data structure can make the difference between code that runs in milliseconds and code that takes minutes.
Follow this path from foundational structures to advanced ones. Each topic builds on concepts from the previous, so working through them in order gives you the strongest understanding.
Contiguous blocks of memory storing elements of the same type, accessed by index.
Nodes connected by pointers, enabling efficient insertion and deletion anywhere.
Key-value stores with near-constant time lookups using hash functions.
First-in-first-out structures for ordered processing and scheduling.
Hierarchical structures with parent-child relationships, rooted at a single node.
Complete binary trees maintaining a min or max ordering property for priority access.
Vertices connected by edges, modeling relationships and networks of any shape.
Two-dimensional arrays organized in rows and columns for grid-based problems.