Hash Tables & Sets

Hash tables and sets are fundamental data structures that provide O(1) average-case access time, making them essential for optimizing many algorithmic problems. Master these structures to solve problems efficiently.

Learning Map

Key applications and operations for hash tables and sets.

Prerequisites

• Time & Space Complexity Analysis
• Basic Data Structures
• Arrays & Strings

What's in scope

• Hash Table Applications: Frequency counting, lookup optimization, caching, grouping, and duplicate detection
• Set Operations: Union, intersection, difference, subset problems, and mathematical set operations

How to use this section

• Start with Hash Table Applications to understand common use cases
• Learn Set Operations for mathematical and logical operations on collections

📄️ Hash Table Applications

Explore practical hash table applications including two-sum, group anagrams, and frequency counting for efficient problem-solving.

📄️ Set Operations

Master set operations including union, intersection, difference, and duplicate detection for efficient data manipulation.