Practice with LeetCode Roadmap

Phase	Main Topic	Content & Tools	Goal
1	Fundamentals	Choose a Programming Language Big O Notation Arrays & Strings	Understand time/space complexity and solve basic array problems.
2	Core Data Structures	Hash Table Linked List Stack & Queue	Implement and use common linear data structures.
3	Trees & Graphs	Trees (Especially Binary Trees) Binary Search Tree (BST) Tries (Prefix Trees) Graphs	Solve traversal (BFS, DFS) and pathfinding problems.
4	Algorithmic Techniques	Two Pointers Sliding Window Recursion & Backtracking Binary Search	Recognize and apply common problem-solving patterns.
5	Advanced Algorithms	Heap / Priority Queue Dynamic Programming (DP) Greedy Algorithms	Tackle complex optimization and combination problems.
6	Special Topics	Bit Manipulation Math & Geometry Advanced Data Structures	Handle niche problems and demonstrate breadth of knowledge.
7	Practice Strategy	Practice by Pattern Maintain Consistency Mock Interviews Review & Optimize	Build confidence and readiness for real interviews.

Core Mindsets for Interview Success

1. Deconstruct and Conquer

Break down every complex problem into the smallest, simplest sub-problems. Master solving the small pieces before tackling the whole.

2. Pattern Recognition is Key

Most problems are variations of common patterns (e.g., two pointers, sliding window). Focus on identifying the underlying pattern, not just the surface details.

3. Master the Edge Cases

A correct solution works for *all* valid inputs. Actively think about nulls, empty arrays, single elements, and other boundary conditions. This is where bugs hide.

4. Think Out Loud

The interview is a test of your thought process. Clearly communicate your assumptions, approach, and trade-offs. Your explanation is as important as your code.