Data Structures & Algorithms¶
Algorithms and data structures form the backbone of coding interviews. Master fundamental algorithms, complexity analysis, and optimal data structure choices for common problems.
Topics¶
Data Structures¶
Array - LinkedList - Stack - Queue - Tree - Graph - Hash Map - Trie - Heap - Set
Fundamental data structures: memory layout, insertion/deletion/search complexity, when to use each, implementations, strengths/weaknesses, real-world applications.
Algorithms¶
Sorting - Searching - BFS - DFS - Dijkstra - Dynamic Programming - Greedy - Backtracking
Core algorithms: time/space complexity analysis, sorting algorithms (QuickSort, MergeSort, HeapSort), graph traversal, shortest path, string algorithms, recursion patterns.
Coding Problems¶
LeetCode - Interview Questions - Problem Patterns - Solutions - Trade-offs - Optimization
Problem-solving strategies: identifying patterns, optimizing solutions, handling edge cases, coding best practices, mock interview problems.
Quick Interview Prep¶
Must-know structures & algorithms: - Arrays: Binary search, sliding window, two-pointer, prefix sums - Trees: BFS/DFS, inorder/preorder/postorder traversal, BST, balanced trees - Graphs: BFS/DFS, shortest path (Dijkstra, Bellman-Ford), topological sort - Dynamic Programming: Identify subproblems, memoization vs. tabulation - Complexity: O(1), O(log n), O(n), O(n log n), O(n²) — know when each applies