Master coding patterns, system design concepts, and behavioral techniques. No fluff. Just what you need to win.
Master interval problems for coding interviews. Learn to merge overlapping intervals, find gaps, and solve meeting rooms problems.
Master greedy algorithms for coding interviews. Learn when greedy works, common patterns like jump game and task scheduler.
Master heaps for coding interviews. Learn min/max heaps, top K problems, merge K sorted lists, and find median from data stream.
Master backtracking for coding interviews. Learn the universal template for subsets, permutations, combinations, and constraint satisfaction.
Master graph traversals for coding interviews. Learn BFS for shortest paths, DFS for cycle detection, topological sort, and classic problems.
Master tree traversals for coding interviews. Learn preorder, inorder, postorder DFS and level-order BFS with recursive and iterative approaches.
Master stack patterns for coding interviews. Learn matching brackets, monotonic stack, expression evaluation, and common LeetCode problems.
Master linked list techniques for coding interviews. Learn singly vs doubly lists, cycle detection, in-place reversal, and the dummy head technique.
Master React hooks for your frontend interview. Learn useState, useEffect, useCallback, useMemo, useRef, and custom hooks with real examples.
Master binary search for coding interviews. Learn the template, common variations (lower/upper bound), and how to avoid off-by-one errors.
Master dynamic programming with this step-by-step guide. Learn the patterns, recognize DP problems, and solve them systematically with real interview examples.
Complete guide to Big O notation, algorithmic complexity, and performance analysis. Learn to calculate time and space complexity from code with real examples.
Master hash maps (hash tables, dictionaries) for coding interviews. Learn collision resolution, load factor, and solve common problems like Two Sum and anagrams.
Master system design interviews with this proven framework. Learn to clarify requirements, estimate capacity, design APIs, choose databases, and scale effectively.
Master the two pointers technique for solving array and string problems efficiently. Learn when to use it and common problem patterns.
Understand the sliding window pattern for solving subarray and substring problems. Includes fixed-size and dynamic window examples.
Learn how to use the STAR framework to answer behavioral interview questions with confidence and impact.