DSA Interview Patterns

आप क्या सीखेंगे

• Recognise which pattern a coding interview problem calls for from its constraints and wording.
• Apply hashing, prefix sums, two pointers and sliding windows to array and string problems in linear time.
• Use binary search, stacks, heaps and intervals techniques to cut brute-force solutions down.
• Traverse linked lists, trees and graphs with fast/slow pointers, DFS, BFS, topological sort, union-find and Dijkstra.
• Solve dynamic programming and backtracking problems by defining states, transitions and pruning.
• Explain your approach and complexity clearly while coding under interview conditions.

पाठ्यक्रम

How to Approach Coding Interviews

1. A Repeatable Problem-Solving Method
2. Big-O and Why It Matters
3. Recognising Patterns

Arrays and Hashing

1. Hash Map Lookups
2. Prefix Sums
3. Counting and Canonical Keys

Two Pointers and Sliding Windows

1. Two Pointers
2. Sliding Windows
3. Monotonic Deques

Binary Search and Stacks

1. Binary Search Done Right
2. Binary Search on the Answer
3. Stacks and Monotonic Stacks

Linked Lists and Trees

1. Fast and Slow Pointers
2. Tree Depth-First Search
3. Tree Breadth-First Search

Graphs

1. BFS for Shortest Paths
2. Connected Components and Union-Find
3. Topological Sort
4. Weighted Shortest Paths

Heaps, Intervals and Greedy

1. Heaps for Top-k
2. Interval Problems
3. Greedy Algorithms

Dynamic Programming and Backtracking

1. One-Dimensional DP
2. Two-Dimensional DP
3. Backtracking
4. An Interview Coding Checklist