JavaScript Hashing Coding Practice Problems

Hashing is a fundamental concept in JavaScript used to map data to a fixed-size value, enabling fast lookups, efficient data retrieval, and optimized storage. Hashing is commonly used in hash tables, caching, data indexing, and cryptography to store and retrieve values efficiently.

This curated list of JavaScript Hashing Coding Practice Problems will help you master hashing techniques. Whether you're a beginner or an experienced developer, these problems will enhance your understanding of hash functions, collision resolution techniques, and hash-based data structures, improving your problem-solving abilities.

Hashing Practice Problems

Easy

• Array Subset
• Uncommon Characters
• Repeated Character
• Exceptionally Odd
• Check if a String is Isogram or Not
• Find Unique Element
• Count the Characters
• Count Pair Sum
• Sort the String in Descending Order
• Count Number of Elements Between Two Given Elements in Array
• Unique Numbers
• Check Arithmetic Progression
• String Reversal
• Substrings with Same First and Last Characters
• Smallest Number Repeating K Times
• Demonetisation
• Union of Arrays with Duplicates
• Check Equal Arrays
• Two Sum - Pair with Given Sum
• Frequencies in a Limited Array
• First Repeating Element
• Non-Repeating Character
• Intersection of Arrays with Distinct
• At Least K Occurrences
• Find All Pairs with a Given Sum

Medium

• Longest Subarray with Sum K
• Largest Subarray with 0 Sum
• Longest Consecutive Subsequence
• Find Triplets with Zero Sum
• Triplet Sum in Array
• Stream First Non-Repeating
• 4 Sum - All Quadruples
• Count Distinct Elements in Every Window
• Array Pair Sum Divisibility Problem
• Check if Frequencies Can be Equal
• Sort According to an Array
• Smallest Distinct Window
• Longest Subarray with Sum Divisible by K
• Overlapping Intervals
• Print Anagrams Together

Hard

• LRU Cache
• Smallest Window Containing All Characters of Another String
• Account Merge
• Largest Rectangular Sub-Matrix Whose Sum is 0
• Minimum Operations to Convert Array A to B
• LFU Cache