Comprehensive coding interview questions covering algorithms, data structures, and problem-solving techniques with Go implementations. Data Structures Detailed explanations and implementations of core data structures: Binary trees and BSTs Heaps and priority queues Tries and advanced trees Linked lists and arrays Hash …

Hard-level Cosmos chain operation questions covering advanced algorithms, performance optimization, and complex validator management. Q1: How do you implement advanced consensus optimizations and reduce latency? Answer: Optimistic Execution: 1type OptimisticExecutor struct { 2 pendingTxs map[string]*PendingTx 3 …

Medium-level Cosmos chain operation questions covering advanced chain operations, consensus algorithms, and validator management. Q1: How does the Tendermint consensus algorithm ensure safety and liveness? Answer: Safety Properties: Validity: Only valid blocks are committed Agreement: All honest validators commit same …

Binary search is an efficient algorithm for finding a target value in a sorted array by repeatedly dividing the search interval in half. Basic Algorithm Concept Compare the target with the middle element: If equal: found If target < middle: search left half If target > middle: search right half Mathematical …

A curated collection of the most common algorithm interview problems with optimal Go solutions. Array Problems 1. Two Sum Problem: Find two numbers that add up to target. 1func TwoSum(nums []int, target int) []int { 2 seen := make(map[int]int) 3 4 for i, num := range nums { 5 complement := target - num 6 if j, exists …

Heap sort is a comparison-based sorting algorithm that uses a binary heap data structure. It has guaranteed $O(n \log n)$ time complexity and sorts in-place. Algorithm Overview Build Max Heap: Convert array into max heap Extract Max: Repeatedly remove max element and rebuild heap Key Properties Time: $O(n \log n)$ for …

Easy-level algorithm interview questions with detailed approach explanations and solutions. How to Approach Interview Problems Clarify requirements: Ask about edge cases, constraints, input/output format Think out loud: Explain your thought process Start with brute force: Then optimize Consider trade-offs: Time vs. …

Hard-level algorithm interview questions with detailed approach explanations and solutions. Problem 1: Median of Two Sorted Arrays Problem: Find median of two sorted arrays in $O(\log(m+n))$ time. Example: 1Input: nums1 = [1,3], nums2 = [2] 2Output: 2.0 3Explanation: merged = [1,2,3], median = 2 Approach Key Insight: …

Medium-level algorithm interview questions with detailed approach explanations and solutions. Problem 1: Longest Substring Without Repeating Characters Problem: Find length of longest substring without repeating characters. Example: 1Input: s = "abcabcbb" 2Output: 3 3Explanation: "abc" is longest …

Optimal techniques for common linked list operations using pointer manipulation, particularly the two-pointer (slow/fast) and three-pointer techniques. Linked List Structure 1type ListNode struct { 2 Val int 3 Next *ListNode 4} 5 6// Helper to create a list from array 7func CreateList(values []int) *ListNode { 8 if …

Merge sort is a stable, comparison-based sorting algorithm that uses the divide-and-conquer paradigm to sort elements in $O(n \log n)$ time. Algorithm Overview Divide and Conquer Strategy Divide: Split array into two halves Conquer: Recursively sort each half Combine: Merge the two sorted halves Mathematical …

Quick sort is an efficient, in-place, comparison-based sorting algorithm that uses divide-and-conquer. It has $O(n \log n)$ average time complexity but $O(n^2)$ worst case. Algorithm Overview Divide and Conquer Strategy Partition: Choose a pivot and partition array so that: Elements ≤ pivot are on the left Elements …

Algorithms for measuring similarity between strings, used in spell checking, DNA sequencing, plagiarism detection, and fuzzy matching.

1. Levenshtein Distance (Edit Distance) Minimum number of single-character edits (insertions, deletions, substitutions) to transform one string into another. How It Works Core Idea: …