Data Structures
Arrays
Ordered indexable collection for O(1) access by position.
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Discipline
Data Structures
Learn data structures for coding interviews: arrays, linked lists, stacks, queues, hash tables, trees, heaps, graphs, and tries.
- 34Concepts
- 2Disciplines
- 5Categories
- 9Matching
Data Structures
Linked Lists
Nodes linked by pointers — insert and delete without shifting a contiguous block.
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Data Structures
Stacks
Last-in, first-out collection for undo, parsing, and nested work.
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Data Structures
Queues
First-in, first-out collection for scheduling, BFS, and buffering.
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Data Structures
Hash Tables
Key-to-value lookup in average O(1) via hashing into buckets.
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Data Structures
Trees
Hierarchical nodes with parent–child links for ordered and nested data.
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Data Structures
Heaps
Priority queue backed by a binary heap for fast min or max access.
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Data Structures
Graphs
Nodes and edges modeling networks, dependencies, and paths.
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Data Structures
Tries
Prefix trees for fast autocomplete, dictionary lookup, and word search.
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